Environmental impact in the energy sector: nature, biodiversity & climate risk

In this article, Virginia Castellucci (Head of Sustainability, XNatura), Lucrezia Palma (Sustainability Specialist, XNatura) and Francesca D’Agostino (Nature Strategist, XNatura) discuss how the XNatura platform supports companies in the energy sector in performing better environmental assessments, aligning with the latest sustainability frameworks. The session focuses on how to streamline Environmental Impact Assessments (EIAs) and Environmental Monitoring Plans (EMPs) and shows how the digitalization of field data, gathered mainly through satellite imagery and bioacoustic sensors, translates into actionable insights for sustainability teams. A live demo illustrates real-world use cases, showing how the platform helps monitor environmental conditions, assess impacts, and generate transparent, auditable reports to support long-term biodiversity and climate strategies.

XNatura is an environmental platform that defines itself as a nature-tech company, offering tools for biodiversity assessment, monitoring, regeneration, and scientific dissemination. Developed with scientific and institutional partners, the platform monitors over one million hectares globally using more than 5,000 IoT devices that track pollinators, birds, mammals, and other biodiversity indicators. With over 500 clients worldwide, including private companies, public bodies, and natural parks, and collaborations with more than 15 research centers, XNatura supports the management of environmental risks and impacts. As the natural intelligence and tech division of 3Bee, it integrates remote sensing, ground sensors, lab analyses, and field surveys into one system for comprehensive, KPI-based environmental evaluation.

When it comes to the energy sector, the XNatura platform offers a wide range of benefits: Risks and Dependencies Prioritization: the platform helps identify and prioritize environmental risks and dependencies across large portfolios, particularly useful when managing pipelines with hundreds of potential sites. It enables users to determine which locations are most vulnerable or most reliant on natural ecosystems, helping to guide investment decisions and allocate resources effectively. Scenario Analysis for Project Development: once development sites have been selected, the platform supports scenario analysis to simulate and evaluate the environmental outcomes of different implementation strategies. By generating future KPI projections, it enables informed planning and helps minimize both risks and ecological impacts.

Market Benchmarking and Target Validation: the platform assists in evaluating whether a project meets key environmental targets, such as Biodiversity Net Gain (BNG). It also allows for performance benchmarking against industry standards, supporting the definition of strategic objectives and enhancing market positioning. Automated Reporting: reporting is often a time-consuming and complex task. XNatura simplifies this process with a one-click report generation feature. The platform compiles all relevant data in formats that are compliant with frameworks such as CSRD, TNFD, and SBTN, tailored to each user's specific reporting needs.

Faster bureaucratic practices: administrative and regulatory procedures are made easier thanks to automated data collection and documentation tools. Streamlined Regulatory Compliance: the platform reduces the burden of bureaucracy and simplifies compliance with permitting authorities, Environmental Impact Assessments (EIAs), and Environmental Monitoring Plans (EMPs). Transparent Communication: the platform includes real-time biomonitoring data streaming, allowing stakeholders, such as regulators, communities and investors, to access and understand the environmental performance of a project in a clear and transparent way.

The renewable energy sector is considered crucial in the fight against climate change. According to the IPCC, the global expansion of renewable energy is a key component in climate mitigation strategies. Projections indicate that by 2050, 85% of the world’s electricity is expected to come from renewable sources. While this shift is positive from a climate perspective, it comes with significant spatial demands. Renewable energy solutions often require large land areas, making it essential to monitor and mitigate their impact on nature and biodiversity.

Despite its importance, the renewable energy sector also generates environmental pressures. These include habitat alteration, pollution from materials and chemicals, and the potential introduction of invasive species. For example, wind turbines are associated with bird mortality, while solar panels are projected to produce around 60 million tons of waste by 2050. In addition to its impacts, the sector is also highly dependent on natural resources. Hydroelectric power plants require water, and solar or wind installations rely heavily on land availability. To build a one gigawatt wind farm, approximately 3,000 hectares of land are needed. Moreover, raw materials such as lithium are essential for the production of solar panels, wind turbines, and batteries. Lithium production alone is expected to increase by 40% by 2040.

For the analyzed reasons, conducting a thorough and accurate Environmental Impact Assessment is essential. The Environmental Impact Assessment (EIA) is a systematic process used to evaluate the potential environmental effects of a project before it is approved. Its main objective is to identify, predict, and mitigate possible adverse impacts on various environmental components such as soil, water, air, biodiversity, and local communities. This process is particularly important for the energy sector, as well as for others, like the infrastructure one.

Specifically for the energy sector, the EIA is required for most renewable energy projects. Examples of projects already under assessment include dams, wind farms, solar and biomass power plants. To obtain project approval from the relevant authorities, developers are required to submit a comprehensive set of information. This includes a detailed project description, an assessment of potential significant effects, possible project alternatives, key features of the development, and proposed measures to avoid, prevent, reduce, or offset environmental impacts. The XNatura platform supports this process by helping to compile and organize all the necessary information, simplifying the preparation of environmental impact assessments and improving the quality and efficiency of submissions.

The Environmental Impact Assessment procedure can be structured into six main steps. The first is screening, which determines whether an EIA is required for the proposed project. This is followed by scoping, where the specific scope and key issues to be addressed in the assessment are defined. Next comes the preparation of the environmental report, followed by the public consultation and the collection of competent authorities opinions. Based on these inputs, the decision-making takes place, during which the project is either approved, modified, or rejected. The final step is monitoring and compliance, which ensures that environmental commitments are respected. In the European context, this has become a mandatory component. The XNatura platform provides strong support not only in the initial stages, helping gather the necessary information for approval, but also in the ongoing monitoring phase, ensuring that projects remain compliant with environmental standards over time.

XNatura is a platform designed to support biodiversity, nature, and climate strategies. It is fully compliant with key European and international standards, including the ESRS, TNFD, and it follows the LEAP approach. In addition to facilitating environmental assessments, the platform can also be used for sustainability reporting purposes. The process begins with the screening phase. Here, the platform provides geospatial and environmental data to evaluate whether a proposed project is likely to have a significant environmental impact. It can classify land use and determine whether the site falls within protected areas or high conservation value zones. This enables rapid identification of any critical environmental constraints.

The second phase is scoping, in which the platform helps define the key environmental factors that should be assessed. It does so by supplying detailed data on local environmental conditions such as hydrogeological risks, climate risks, biodiversity, and ecosystem services. This information is gathered using a variety of technologies, including remote sensing, public environmental databases, and on-the-ground sensors. These sensors, based on bioacoustics for monitoring pollinators and birds, camera traps for mammals, and beehive biomonitoring, are widely used in the energy sector, particularly in solar power plants. Field surveys and laboratory analyses also contribute to the data collection process, all integrated into a single, accessible platform that combines both modeled and real-world data.

The third phase is the preparation of the report. The platform contributes to producing high-quality, data-driven, and evidence-based reports. Predictive models are also employed to simulate potential environmental changes. The AI-generated report offers a comprehensive overview of each project site and provides science-based recommendations. The document includes component characterizations (air, water, flora, fauna), impact assessments, mitigation strategies, comparative and cumulative impact analyses, and restoration plans. During the public consultation and authority feedback phase, the platform helps facilitate clear and transparent communication. By sharing accessible environmental data, it supports engagement with local communities, environmental organizations, and regulatory authorities, helping all stakeholders better understand the risks and benefits of the project.

In the decision-making phase, XNatura provides valuable input through risk assessments, scenario analysis, and predictive modeling. These tools help decision-makers evaluate whether to approve, modify, or halt the project based on clear environmental insights. Finally, during the monitoring phase, the platform continues to deliver relevant environmental data using technological tools. The goal at this stage is to validate impact models, track sensitive areas, and monitor areas where predictions are more uncertain. One example of the monitoring tools used is the Hive Tech, an IoT system applied to beehives that analyzes the health of honeybee colonies. This technology is particularly common in solar energy installations. In conclusion, the XNatura platform provides multiple benefits throughout the entire environmental assessment and monitoring process.

The following section provides an overview of the demo version of the XNatura platform and how it supports environmental monitoring and site prioritization. The platform interface is fully customizable, allowing users to adapt various elements such as project descriptions and biodiversity objectives to align with their specific needs. Once in the monitoring section, the system enables real-time analysis of multiple sites simultaneously. In the shown example, the platform is analyzing data from 30 individual sites, covering a total area of approximately 31,000 hectares and involving 24 different production processes.

One key functionality demonstrated is site prioritization, which was previously introduced as a central feature. In this case, prioritization is based on hydrological risk and proximity to protected areas. By applying these criteria, the platform displays all monitored sites in a matrix format. This visualization makes it easier to identify which locations present the highest impact, helping stakeholders focus efforts and resources where they are most needed. This tool is especially valuable when managing large-scale operations with multiple sites, enabling informed decision-making through data-driven prioritization.

In this case study, the platform is used to analyze a site located in Wales, where a photovoltaic power plant is currently operating. Upon accessing the site, the platform displays both the project boundary, highlighted in pink, and the surrounding control area. Although the plant is already active, the simulation assumes a pre-construction scenario to demonstrate how project planning functions within the platform. By selecting the base scenario, the land cover is manually set as non-irrigated arable land, simulating conditions prior to installation. This allows the user to model a hypothetical development by applying a change in land use. In this case, artificial surfaces are selected to represent the introduction of solar panels. Based on this input, the platform generates a full simulation of a potential solar power plant at the site allowing to compare the base scenario with the simulated plant scenario.

This simulation is conducted to assess how the presence of the solar power plant might affect the surrounding area. It enables evaluation of potential impacts on biodiversity, local species, and the broader landscape, including the urban and ecological context. The analysis begins with the evaluation of hydrogeological risk to determine whether the site is located in a flood-prone area. In this case, the site is classified as level four, indicating a high level of hydrogeological risk. This information is clearly visualized on the map and further detailed in a dedicated risk dashboard.

The dashboard provides an overview of the physical hazards associated with the site. For this particular location, 15 past events related to hydrogeological risk have been recorded. In addition, the platform calculates the probability of a general flood event within the next two years, as well as the likelihood of a high-intensity event over the same period. The analysis can also be extended to include future projections based on IPCC scenarios, offering insight into how climate-related risks may evolve over time. In this specific case, the platform confirms that there is no landslide or erosion risk, given the site’s flat topography. This information helps narrow the focus to the most relevant threats.

Beyond natural hazards, the XNatura environmental platform also provides a connection between environmental risks and financial considerations. While the financial analysis section is not fully activated in the current demo version, in the complete version it would display potential financial risks and opportunities associated with the selected site, particularly in relation to its level of exposure to high hydrogeological risk. This type of insight becomes especially valuable when planning both the construction phase and the long-term viability of a power plant project.

When evaluating hydrogeological risk for a solar power plant, it is also useful to analyze recent and projected rainfall patterns. The XNatura platform enables this analysis using climate models based on IPCC scenarios. Users can select different pathways, from the most optimistic to the most severe, and observe future precipitation trends. In this particular case, the data indicate an expected increase in rainfall over the coming years. This information is critical, as local precipitation patterns must be taken into account to ensure that the design of the plant can accommodate variations in rainfall without compromising operational performance. Temperature trends can also be analyzed. While less critical in this scenario, the platform shows an increase in average temperatures, which may still influence environmental and technical factors.

As part of the site suitability assessment, it is also essential to evaluate the impact on the surrounding natural environment. The platform indicates that the site is located within a dense network of protected areas, both large and small. This raises concerns about potential disruptions to wildlife migration patterns. The development of the plant in such a context could fragment natural habitats and interfere with the movements of species such as birds and bats. Another key aspect to assess in the case of photovoltaic installations is solar glare. From above, solar panels may be mistaken for water bodies by birds, especially those that rely on visual cues during flight. This misidentification can lead to collisions, as birds attempt to land on the reflective surfaces, assuming they are ponds or lakes. Monitoring bird behavior and assessing the risk of disorientation is therefore important to safeguard local fauna and implement mitigation strategies if needed.

Ground temperature is another relevant factor. Solar panels can alter local microclimates by increasing the temperature of the surrounding soil. The platform allows for temperature analysis over different months, helping to determine whether the presence of the plant would cause measurable warming. This is particularly significant near urban areas, where cumulative heat effects could occur. Changes in ground temperature may also affect small fauna such as insects, mammals, and other species living close to or under the infrastructure.

Several other factors must be analyzed to determine whether a site is suitable for the construction of a power plant. One of the key elements to assess is preparedness for potential biodiversity impacts and the ability to monitor these effects over time. To do so, the installation of bioacoustic sensors is recommended to monitor bird activity, along with camera traps to observe birds and small mammals living in proximity to the site. Another important aspect, previously discussed, is the monitoring of pollinators, including bees. Through the use of connected beehives and other pollinator-specific tools, it is possible to assess the health of local biodiversity and track any changes. Beyond impact mitigation, the platform also supports efforts to improve resilience by promoting ecological regeneration in the areas surrounding the plant.

A second example involves a wind power plant, where the platform's benchmarking and comparative analysis features become particularly relevant. The site includes a detailed description and contextual information. Within the impact section, users can explore dependencies and impacts based on the Encore database. For wind energy production, Encore provides predefined impact levels for factors such as noise and light disturbance. In this example, it classifies the overall disturbance as “medium.” However, if the site owner has additional, site-specific knowledge, such as recognizing that noise is a more significant issue than light, this information can be manually adjusted. The platform allows users to edit values directly; in this case, the impact from noise was set to “high” to reflect the true conditions caused by wind turbines. The same works for the site dependencies.

This wind power plant is located in Romania, near the Black Sea, and covers an area of approximately 5,000 hectares. Due to its size and location, the project may have a significant impact on bird migration patterns, particularly given the proximity to various protected natural areas. The mapping tool confirms that the site is surrounded by numerous protected zones, emphasizing the importance of assessing the presence and movement of birds and bats, as these species may be affected by turbine operations. Tools such as camera traps, bioacoustic sensors, and other monitoring technologies can be deployed to track migration patterns and determine whether these animals regularly transit through the area occupied by the plant. The data collected through these systems can be used to develop targeted mitigation strategies aimed at reducing the risk of collisions. This approach allows for a balance between energy production and the protection of local wildlife.

Another relevant factor to consider is ground temperature, which is monitored using satellite data. Ground temperature may vary depending on the specific characteristics of the land. In the case of wind farms, one key aspect is the aerodynamic effect of the turbine blades, which can alter local air circulation. The mixing of cooler air near the ground with warmer air at higher altitudes can lead to changes in microclimate conditions around the site. This change in air dynamics may affect not only wildlife but also local vegetation and agricultural productivity, particularly in areas where the land surrounding the turbines is used for farming. Understanding these interactions is essential for evaluating the full environmental impact of wind energy infrastructure and for implementing measures to minimize unintended effects.

Another critical aspect to assess during the planning of a wind power plant is the presence of species at risk, as well as the potential introduction of invasive species. This analysis can be conducted using the remark layer, which allows users to select and evaluate species data through integrated databases such as Biodiversa and iNaturalist. These resources help identify whether any protected or threatened species inhabit the project area, or if there is evidence of non-native species that could pose a threat to local ecosystems. This assessment is particularly important for large-scale projects involving extensive material use, often sourced from different parts of the world. Such developments increase the likelihood of inadvertently introducing small, non-native species, which may compete with or harm local species. For this reason, evaluating species vulnerability and biological risk is a key part of responsible environmental planning and long-term biodiversity protection.

After analyzing all relevant impacts and dependencies, along with the status of local biodiversity, the platform allows for the automatic generation of a final assessment report. This can be done simply by selecting the appropriate command within the interface. The generated report consolidates all collected data and insights, providing a comprehensive overview of the site’s environmental conditions. In addition, the platform supports continuous monitoring over time, helping to track the evolution of environmental impacts and identify any emerging threats that may not have been apparent during the initial assessment.

Another project analyzed through the platform is a biogas plant located in northern Italy, within an agricultural area in the Lombardy region. Upon generating the high-resolution RGB imagery, it becomes evident that a solar power plant has also been installed adjacent to the biogas facility. This secondary installation was developed to allow the biogas plant to become energy self-sufficient. In this context, the environmental impacts and dependencies associated with the site include disturbances such as noise, area of land use and emissions of GHGs and other pollutants. The plant also relies heavily on various ecosystem services, particularly those related to water availability, purification, and local rainfall patterns. To monitor air quality, sensors can be installed near the nearby green areas to track emissions in real time. All collected data are automatically integrated into the platform, enabling continuous monitoring and evaluation of the plant’s environmental performance.

Another important aspect to consider is the reaction of the surrounding community, especially when such infrastructure is developed near urban or residential zones. The XNatura environmental platform, with its user-friendly interface, supports transparent communication with communities and stakeholders. It helps assess the impacts on land use, potential disruption to natural habitats, and other changes to the local environment, facilitating a shared understanding of both risks and benefits.

A particularly important element to highlight is the MSA (Mean Species Abundance) KPI, which monitors the status of biodiversity over time. This module tracks the plant’s environmental impact throughout the year, distinguishing between effects on animal and plant species, and allows for the setting of biodiversity targets, either to match the baseline conditions of the control area or to support regeneration efforts. In this case, given the available land adjacent to the biogas plant, as shown earlier, the platform suggests opportunities for ecological regeneration. Such activities can play a key role in mitigating the environmental impact of the plant, helping to offset pressures on biodiversity and contributing to a more balanced relationship between energy production and ecosystem health.

The first case study relates to the biogas plant project concerns one of XNatura’s clients, Edison Next. This project took place in northern Italy and focused on assessing, regenerating, and monitoring biodiversity in order to enhance the ecosystem resilience surrounding the plant. The long-term objective is to achieve net-zero impact, through the implementation of site-specific regeneration actions made possible by data collected and analyzed via the XNatura platform. For this project, approximately 3.5 hectares were assessed using satellite imagery, and all data is accessible transparently through the platform. Regeneration activities included both natural regeneration using native nectariferous plants and artificial interventions such as the installation of bug hotels and artificial shelters, targeting both honeybees and wild pollinators. Monitoring was carried out using IoT devices, including the HiveTech, Spectrum and PollyX, a sensor also capable of analyzing air quality on site.

Another relevant case study involves a collaboration with Cubico, centered on a standard brown-field photovoltaic site. The goal of this project was to carry out a full biodiversity assessment, which was later recognized as a best practice example by Solar Power Europe. Despite initial resistance from local communities, the transparent approach to assessment and monitoring led to positive community feedback. As a result, the client is now planning to scale this approach across its entire portfolio of sites. In this case as well, IoT technologies such as HiveTech and PollyX were deployed. The site was analyzed through satellite imagery, AI systems, and machine learning to ensure robust and precise environmental data.

A third case study involves RWE and focuses on an agrivoltaic project in Sicily, involving three agricultural sites that are transitioning into agrivoltaic use. The aim was to simulate and assess how the future installation of solar panels might impact local biodiversity. A full baseline biodiversity assessment was performed using satellite data, while IoT sensors were installed to monitor conditions prior to panel installation. This will allow comparison between pre- and post-installation phases, both through predictive simulations and real-time monitoring. These case studies highlight how the platform supports data-driven decision-making and long-term biodiversity strategies for energy and infrastructure clients.

The white paper with more insights on the energy sector is available for download. Understanding the environmental impact of new projects is crucial in a world where sustainability and development must go hand in hand. How can we ensure that renewable energy infrastructures and other major projects minimize their impact on nature and communities? The answer lies in the Environmental Impact Assessment (EIA). The white paper outlines the key steps of the EIA from initial planning to the monitoring phase, identifying and mitigating the environmental impacts of energy projects and presenting how XNatura’s expertise helps businesses optimize their environmental footprint while promoting sustainable growth. With insights from industry experts and case studies, the guide provides actionable strategies for organizations to strengthen their environmental leadership in the energy sector.