Average Annual Energy Research Articles

ЗЕЛЕНЫЕ ТЕХНОЛОГИИ КАК АЛЬТЕРНАТИВА ПРИМЕНЕНИЯ УГЛЕВОДОРОДНЫХ РЕСУРСОВ

The article discusses the prospects for the use of green technologies in the face of an unfavorable geopolitical situation and sanctions announced by Russia, which led to a shortage in the energy market. Renewable energy sources, including solar energy, wind energy, hydropower, biofuels and others, are the main focus of the transition to a less carbon-intensive and more sustainable energy system. Wind and solar PV can reduce the European energy sector's dependence on Russian gas in 2023. Russia supplies about 45 % of the gas imported by the European Union for industry, housing and electricity generation. For electricity generation, natural gas accounts for about 16 % of the group's total electricity demand. Over the past decade, natural gas-fired electricity generation has ranged from 340 to 600 kWh per year, depending on pricing and demand for wind and solar photovoltaic systems. The paper provides an analysis of the average annual energy production on natural gas for individual EU countries. An overview of the change in the price range of biofuels is presented. Uncertainty factors in the construction of economic forecasts are indicators related to fuel, raw materials and the policy of prices for oil and biofuels. Energy and food security, as well as reducing greenhouse gas emissions, are all in constant flux, which also introduces many uncertainties into forecasts. As conclusions on the topic of the work, it was noted that high prices for fossil fuels have increased the competitiveness of electricity generation technologies from renewable sources compared to coal-fired and natural gas power plants. However, despite their potential, accelerating the growth of new renewable energy capacity depends largely on a stable policy environment that provides long-term revenue certainty.

Study on Critical Factors Affecting Tidal Current Energy Exploitation in the Guishan Channel Area of Zhoushan

As a new type of clean and renewable energy, tidal current energy has attracted more and more attention from scholars. The Zhoushan Guishan Channel area (GCA) is an important part of the East China Sea port area, with strong currents due to its special terrain. In order to more comprehensively evaluate the characteristics of tidal energy development near the GCA, this paper uses the MIKE21 FM hydrodynamic model to simulate the tidal hydrodynamic process in the Zhoushan sea area and verifies the reliability of the model through the measured data. Based on the results of numerical simulations, the energy flow density, frequency of flow rate occurrence, flow asymmetry, flow rotation, and effective flow time that can be exploited are considered as the key factors affecting the development of tidal current energy. The distribution characteristics of each influencing factor in the region and the different influences on tidal current energy development are analyzed. Numerical simulations show that the average high-tide velocity in the GCA is lower than the ebb-tide velocity, and the duration of the high tide is also shorter than that of the ebb tide, which has a higher flow velocity than the surrounding area. The annual average energy flow density in the GCA is the highest at 4520 W/m2, and the spatial distribution is uneven. The resource level in the central part is much higher than that at both ends of the waterway. Three sections, i.e., A-A′, B-B′, and C-C′, with different key influence factors are selected for specific analysis, and it is concluded that the tidal energy development conditions are relatively superior near the B-B’ section in the middle of the GCA, and the exploitable power calculated using the Flux method is about 24.19 MW. The discussion of the results provides a certain reference for the development of local tidal current energy. These key factors affecting tidal current energy development can also be applied to assess the suitability of tidal current energy resource development in other regions.

An Integrated Approach to Assessing the Wave Potential for the Energy Supply of Ports: A Case Study

In recent years, seaports have faced increasing pressure to transition towards a low-carbon and more sustainable energy model. In this context, the exploitation of the local wave energy resource may appear as a promising alternative. Therefore, the objective of this work is to present a methodology to select the best WEC-site combination to supply the energy demands of ports. To illustrate this methodology, the Port of Leixões (Portugal) is used as a case study. For the selection of wave energy sites in port areas, the methodology proposes a detailed spatial characterisation of both the wave resource and marine uses. For the area of study, having considered the main marine uses (sediment disposal, biodiversity, aquaculture, recreational and navigation), two exploitable wave energy sites (Areas I and II) with average annual energy resources of 24 and 17 kWm−1, respectively, were found. Next, the methodology proposes a techno-economic optimisation of WECs, based on the local wave conditions of Areas I and II, to minimise their associated Levelised Cost of Energy (LCoE). The results obtained confirm the effectiveness of the methodology, with the novel oCECO device, appearing as the most feasible option (with an LCoE of EUR 387.6/MWh) to exploit the wave potential in the surrounding areas of the port.

Assessment of Wave Energy Resources in China

The evolution of renewable energy technologies may surmount fossil fuel disadvantages. Wave energy is considered one of the best alternatives to fossil energy due to its advantages. The 40-year (1979–2018) spatio-temporal distribution of wave energy is presented using European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) datasets. In addition, the common formula used for wave energy evaluation is derived from the linear wave theory in deep water, which is not applicable in shallow water. Therefore, a new equation that is suitable for both shallow and deep water is derived, which improves the accuracy of the wave energy evaluation for various water depths. The main aim is to investigate the spatio-temporal wave energy for offshore China from 1979 to 2018 and combine the new standard of classification to recommend the optimal area. The nearshore zone from Zhejiang province to Guandong province is considered the ideal zone, and the average annual wave energy density in this area is above 10 kW/m.

Assessment of the Impact of Flow Changes and Water Management Rules in the Dam Reservoir on Energy Generation at the Jeziorsko Hydropower Plant

This paper presents the impact of flow changes in the Warta River and water management rules regarding the Jeziorsko dam reservoir on the energy production by the hydropower plant in the period 1995–2021. The Jeziorsko dam reservoir was built in 1986. It is the second largest dam reservoir in Poland in terms of surface area. In 1994, a hydropower plant with an installed capacity of 4.89 MW started operation. The study results show the average annual energy production from 1995 to 2021 at a level of 18,718 MWh. On the other hand, energy production largely changed from year to year, from 12,432 MWh (in 2019) to 26,916 MWh (in 2001). The droughts that have occurred in the Warta River basin over the past two decades have had a major impact on energy production. As a consequence of the drought, it was not possible to maintain the required water level in the reservoir. Moreover, a change in the rules for the reservoir’s management that led to lower water levels in the reservoir by 1.5 m between April and June was important from the point of view of energy production. Improving the efficiency of energy production requires changing the rules of water management in the reservoir. More flexible reservoir operation schemes should be considered, including operational management based on meteorological and hydrological forecasts. Moreover, other criteria should also be considered, such as maintaining environmental flows, ensuring protection from flooding, and operating a nature reserve around the reservoir.

Comprehensive analysis on the energy resilience performance of urban residential sector in hot-humid area of China under climate change.

Residential sector is one of the main consumers of the energy market. This study conducts a comprehensive analysis on the future energy resilience performance of urban residential sector in hot-humid area of China in the 21st century. Uncertainties, including future climate, building characteristic and occupancy behavior, are considered in future energy projections. Since the local climate is characterized by hot summer and warm winter, and local building energy is cooling-dominated, this study focuses on the changes in future cooling load. The results indicate that future energy demand of residential sector in hot-humid areas will increase over time except under the Shared Socioeconomic Pathway (SSP) 1-2.6, and the magnitude of the rise could be significant. Under the SSP5-8.5, the most severe scenario for climate change, the average annual energy demand of residential sector in the long-term future is about 90 kWh/m2, which is above twice the energy demand under current typical climate. The annual building energy fluctuates more in a hotter future. Energy demands of dwellings with different building forms and use patterns may vary disproportionately in the changing climate. The framework and findings could give implications on future energy system design in cities.

Policy and Kidney Community Engagement to Advance toward Greener Kidney Care.

Policy and Kidney Community Engagement to Advance toward Greener Kidney Care.

Energy assessment of potential locations for OWC instalation at the Portuguese coast

This work aims to determine the exploitable wave energy resource at five potential sites close to harbour protection facilities at the Portuguese coast, namely at the Azores archipelago, at Madeira Island and at Sines, on the coast of mainland Portugal. For that purpose, a third-generation wave model SWAN is used to transfer the offshore estimates of sea wave conditions to those points over the last 40 years. Sea states and wind fields are provided by the climate reanalysis datasets ERA5. Using sea states as boundary conditions and wind fields as forcings in the numerical domains of the SWAN model, the sea states were propagated shoreward, in order to estimate and analyse the wave conditions in the regions of interest. By combining the average energy flux per unit length of wave front and the probability of occurrence of each sea state, the average exploitable annual energy per unit length of wave crest can be computed. The variability of this energy flux is analysed since it is of paramount importance for the efficiency of Wave Energy Converters (WEC). This assessment showed that the best location for the installation of dual-chamber OWC devices is at the Azores archipelago.

A novel process model for developing a scalable room-level energy benchmark using real-time bigdata: Focused on identifying representative energy usage patterns

Existing building energy ratings are typically derived with the annual average energy consumption of the buildings. This approach may be appropriate for formulating community-level energy strategy at the macro level, but it cannot be directly linked to occupant behavior for energy savings at the micro level. In light of this, this study aimed to propose a novel process model for developing a scalable room-level energy benchmark using real-time bigdata, which focused on identifying representative energy usage patterns and encouraging occupant behavior change for energy savings. When creating a scalable room-level energy benchmark, three views were taken into account: (i) space unit as perceived by occupants, for which space-specific energy usage datasets were classified based on space attributes; (ii) time unit to which occupants can respond simultaneously, for which hourly energy usage datasets were used; and (iii) equipment unit to which occupants can precisely respond, for which energy usage datasets by different types of electrical installation and appliance were utilized. Based on the scalable room-level energy benchmark, the main findings can be summarized: (i) five representative energy usage patterns were identified using k-means clustering method; (ii) the year-round distributions of the five representative patterns were investigated by month and weekday; and (iii) the annual average variance (or uncertainty) of the room-level scalable energy benchmark was determined to be 19.6%. By providing spatio-temporal information on energy usage patterns in real time, it is expected that occupant behavior change can be voluntarily encouraged to save energy in buildings using the proposed approach.

Energy Use of Woody Biomass in Poland: Its Resources and Harvesting Form

Currently, woodchips and logging residues form the greatest share of biomass fuels used to generate heat in combined heat and power plants. They are supplied from various regions of the EU. The calorific values of the wood species used as biomass may vary significantly depending on the moisture and composition of the fuel, harvest seasonality, location, and other factors. This article presents the main resources of forest biomass and its characteristic features, as well as the calorific value of woodchips depending on the moisture content. Our research is based on the source data of forest resources from the State Forests National Forest Holding (PGLLP) in Poland. The research conducted by the main forestry enterprise in Poland covered a period of four years. The data on the harvesting of woodchips and logging residues converted into the calorific values of biomass were based on our research and a review of reference publications. Standard methods were used in the research, which included an analysis of the species and assortment structure of the forest biomass of energetic significance that was available for use. The research showed that the moisture content of the woodchips and lump wood was about 30%. The average annual energy value of the wood in the total area of forest resources was 0.07 GJ/ha, whereas the highest value was 0.14 GJ/ha. Between 2018 and 2021, the average energy resources of forest biomass in Poland increased from 351.8 TJ to 498.4 TJ.

Application of Passive Cooling Principles in Selected Hotel Buildings in Southwest Nigeria

This study was initiated in response to the high energy consumption connected with tourism-related activities. Air conditioning uses the majority of the energy required, typically exceeding 40%. Hotels in the tropics have higher average annual energy use intensity (avg. EUI) rates than those in the temperate zones; Regardless of the climate zone, the highest category hotels (i.e., five-star hotels) have a higher energy use index. When their efficiency is assessed and understood to ensure continuous improvement in their energy conservation, hotel buildings will make a much greater contribution to energy management. The objective of this paper is to investigate the extent to which Passive Cooling Principles were applied in hotel buildings in Nigeria, and the impact of these principles on the selected hotels; towards assessing the achieved level of energy conservation. The study is limited to selected hotel buildings in Nigeria; and they were studied in-depth to determine their compliance levels to passive cooling principles. Non-participant observation was carried out to obtain are objective data. As Lagos State houses a larger number of the five-star hotels in the study population, two of the selected case studies were from this location; and the last was from Abuja, which represented the North and Central Region of the country. The sampling technique used for this research is purposive sampling. The Five-Star hotels were selected based on their star rating according to set standards that have been identified in Literature; and they include prominent hotels in both Lagos and Abuja. The application rate of 64% also creates a basis for determining the minimum application rate targeted for the five-star hotel design carried out along-side this paper; which is 75%. This relays the extent to which Passive Cooling Principles are applied in hotel buildings in Nigeria; and also provides a benchmark for future researches and designers that intend to implement or study Passive Cooling Principles.

Simulation-Optimization of Tarbela Reservoir Operation to Enhance Multiple Benefits and to Achieve Sustainable Development Goals

Pakistan’s agriculture and economy rely heavily on the Tarbela Reservoir. The present storage capacity of Tarbela is 8.2 BCM and it has been depleted by more than 40% due to sedimentation since 1976. It also has had a 0.94 percent (0.134 BCM) decrease in gross reservoir capacity every year. Historically, the amount of sediment trapped in the Tarbela Reservoir during the period 1976–2020 was 198.5 million tonnes annually. Based on the current operation by the Water and Power Development Authority (WAPDA), the delta is expected to extend to 2.41 km from the dam in 2035. The reservoir will become a run-of-the-river reservoir with a gross storage capacity of 2.87 BCM. This rapid loss of storage capacity will significantly impact reservoir benefits while also putting turbine performance at risk due to abrasion. Slowing the sediment deposition phenomena by a flexible operational strategy is a worthwhile aim from the dam manager’s viewpoint to achieve Sustainable Development Goals (i.e., poverty and hunger alleviation, clean affordable energy, protecting ecosystem etc.). Therefore, for the safe and long-term operation of the turbines, the existing Standard Operating Procedures (SOPs) adopted by WAPDA need to be appraised to delineate their impact on future optimized operations. The aspect of considering static SOPs on the whole period of reservoir operation has not been attempted earlier. The Tarbela Reservoir was selected as a case study to enhance the existing reservoir operation. The methodology relies upon the use of a 1-D sediment transport model in HEC-RAS to study the impact of the operational strategy on sedimentation. In conjunction, the existing reservoir operation of Tarbela was modelled in HEC-ResSim using its physical, operational, and 10-daily time-series data for simulation of releases and hydropower benefits based on a revised elevation-capacity curve for sedimentation. After calibration and validation, the model was applied to predict future reservoir operation impacts on a 5-year basis from 2025 to 2035 for determining storage capacity, irrigation releases, power production and energy generation. It was predicted that as the storage capacity of the reservoir is depleted (by application of the WAPDA current SOPs in future years), the irrigation releases would be increased in the Kharif season (April–September) by 7% and decreased by 50% in the Rabi season (October–March) with a corresponding increase in power generation by 4% and decrease by 37%, respectively, and the average annual energy generation would be decreased by 6.5%. The results showed that a gradual increase in the minimum operating level will slow down delta movement but it will reduce irrigation releases at times of high demand. The findings may assist water managers to improve the Tarbela Reservoir operation to achieve sustainable development goals and to attain societal future benefits.

Photovoltaic potential estimation for various surface components of urban residential buildings based on Industry Foundation Classes data

AbstractInstalling photovoltaic (PV) equipment on the building's surface reduces greenhouse gas emissions and additional land acquisition. However, existing methods for estimating PV potential primarily focus on roofs and the assessment of facades and windows is not detailed. This study proposes a method based on the Building Information Model and its standard Industry Foundation Classes to effectively estimate the potential area and location of PV modules on the building's surface and explore the PV potential in detail. The method was applied to residential buildings in Xinyi County, China, and the results show that the annual average energy generated through windows (47,589.793 kWh/year), roofs (141,126.304 kWh), and facades (284,060.393 kWh) constitute a significant amount, particularly the facades, which show significant potential as sources of solar electricity even under the influence of shadows. The rationality and feasibility of this method were verified by comparing it with ArcGIS and other relevant studies available in the literature. Next, we assessed whether the installation of PV panels on the building's surface still has certain operability under the serious shadows. For this purpose, a building with serious shadow shading was selected to analyze the demand and supply of energy. The electricity consumption of the selected building was found to be 131,785.898 kWh/year, which is significantly lower than PV potential (310,632.775 kWh/year), as calculated in this study. Thus, the efficient use of the building's surface for PV generation can meet not only the local electrical energy demand but also the excess energy generated can be sold for economic gain. The method proposed can provide new insights to energy software designers and developers, and the results can provide a reference for energy investors, building owners, and engineers to focus on the installation of PV panels on facades and windows, and formulate complex schemes of PV modules on different building components.

A system dynamic model to quantify the impacts of water resources allocation on water–energy–food–society (WEFS) nexus

Abstract. Sustainable management of the water–energy–food (WEF) nexus remains an urgent challenge, as interactions between WEF and human sensitivity and reservoir operation in the water system are typically neglected. This study proposes a new approach for modeling the WEF nexus by incorporating human sensitivity and reservoir operation into the system. The co-evolution behaviors of the nexus across water, energy, food, and society (WEFS) were simulated using the system dynamic model. Reservoir operation was simulated to determine the water supply for energy and food systems by the Interactive River–Aquifer Simulation water resources allocation model. Shortage rates for water, energy, and food resulting from the simulations were used to qualify their impacts on the WEFS nexus through environmental awareness in society. Human sensitivity indicated by environmental awareness can then adjust the co-evolution behaviors of the WEFS nexus through feedback loops. The proposed approach was applied to the mid–lower reaches of the Hanjiang River basin in China as a case study. Results indicate that environmental awareness shows the potential to capture human sensitivity to shortages from water, energy, and food systems. Parameters related to boundary conditions and critical values can dominate environmental awareness feedback to regulate socioeconomic expansion to maintain the integrated system from constant resource shortages. The annual average energy shortage rate thereby decreased from 17.16 % to 5.80 % by taking environmental awareness feedback, which contributes to the sustainability of the WEFS nexus. Rational water resources allocation can ensure water supply through reservoir operation. The annual average water shortage rate decreased from 15.89 % to 7.20 % as water resources allocation was considered. Threats from water shortage on the concordant development of the WEFS nexus are significantly alleviated, particularly for the area with a limited regulating capacity for the water project. Therefore, this study contributes to the understanding of interactions across the WEFS systems and helps in improving the efficiency of resource management.

Performance analysis of solar water heater system with heat pipe evacuated tube collector on Moha soft drink industries in Ethiopia

Hot water is a crucial demand for many of Ethiopia's industrial and household heating systems. Most industries are using boilers powered by conventional energy sources to meet the demand for hot water. Due to the environmental impact of conventional energy sources usage and the rise in fossil fuel prices, the utilization of solar energy as a source of energy become a promising candidate for various applications. We use MATLAB/SIMULINK software to carry out this study of solar water heating systems with heat pipe evacuated tube collectors. Comparisons of total solar radiations were made at various optimum tilt angles for the selected locations. The adjustment of tilt angles has a great impact on the collection of useful energy. The maximum average annual energy savings are 1.21E+06 kWh/year for Addis Ababa at monthly and seasonal optimum tilt angles, 1.26E+06 kWh/year for Dire Dewa at a monthly optimum tilt angle, and 1.21E+06 kWh/year for Hawassa at a monthly optimum tilt angle. This means it will reduce 326,700 kg of CO 2 , 340,200 kg of CO 2, and 326,700 kg of CO 2 emissions per year respectively. The efficiency increases as the heat transfer fluid flow rate increases. The maximum annual cost savings are at monthly optimum tilt angles of the collector (6.12E+04 $/year, 6.36E+04 $/year, and 6.11E+04 $/year for Addis Ababa, Dire Dewa, and Hawassa cities, respectively with a payback period of 6.43 years, 6.18 years and 6.44 for Addis Ababa, Dire Dewa and Hawassa cities, respectively.

Modeling Probabilistic Driving and Charging Profiles of Commercial Electric Vehicles

The electrification of road transport requires a massive integration of charging infrastructure into the electrical distribution grids. In order to investigate their impact on the grid expansion demand or to develop optimization methods for charging management, it is necessary to model the uncertainties of the driving and charging behavior of electric vehicles in the form of probabilistic time series but also as a simultaneity factor. Most scientific papers focus on modeling privately owned electric vehicles. However, the influence of commercial electric vehicles has hardly been considered so far, even though high electric loads are to be expected here as well in the future. In this paper we present our method for modeling the driving and charging behavior of commercially owned electric passenger cars and light commercial vehicles. In our evaluation, we show the plausibility for a fleet of 5000 vehicles in terms of average annual mileage, weekday-dependent trips, and seasonal energy demand, among others. Finally, we determine the maximum simultaneity of the charging power.

Assessing the optimal location for Sipora wave energy power generator site placement from a geological perspective

One of the potential sources of renewable energy in the Mentawai region is ocean wave energy. The western Sumatra sea has a wave energy potential of up to 20 kW/m. The wave energy potential modeling conducted by the Marine Geological Institute (P3GL) ESDM revealed that western Mentawai waters are locations that produce annual average wave energy of around 20 kW/m. The geological survey of the seabed for power generating wave energy turbine sites using acoustic equipment including the Echosounder Odec, SBP Stratabox, and Star Fish Side Scan Sonar. The mapping of the seabed allows for the identification of undersea morphology, slopes, structural elements, and seafloor objects. Ocean depth sounding and bottom surface imaging are used in this research to determine the placement of the turbine site from the wave energy generator connection grid. The existence of underwater corals and fluvial plain units, continental shelf with shallow seabed and a gentle slope with an average depth of 30 meters was recognized as the most important factor in determining the site's location in this research. Based on the weighting and scoring results, optimal locations for potential power plant sites are in coastal areas located in offshore near Batu putih coast.

Dikili Açıklarında Bir Açık Deniz Rüzgâr Çiftliğinin Kavramsal Tasarımı

In this study, importance of the offshore wind energy potential for Turkey is emphasized by working out a technical conceptual design of an offshore wind farm (OWF). The site selected for the proposed OWF with an area of 640,000 m2 is located in the southwestern shores of Dikili, a coastal town in the Aegean Sea region of Turkey. The wind turbine model recommended is Vestas V80 - 2.0 Offshore (IEC IIA class) type with a hub height of 78 m, hence the installed power of the OWF composed of ten units is 20 MW. The grid connection point is determined as the Port of Narlıdere, which is the nearest convenient place to the proposed OWF. The foundation type is selected as mono-pile foundation according to the water depth and seabed conditions. The proposed OWF is estimated to yield average annual energy of 72 GW.

How will hydro-energy generation of the Nepalese Himalaya vary in the future? A climate change perspective

Despite being one of the proven clean-energy technologies, hydroelectricity is losing attention in global research. Hydroelectricity is extremely important for countries possessing the required water resources, already heavily reliant on it and those lacking the financial capacity to invest in other expensive energy technologies. This study assessed the possible impact of climate change (CC) on hydro-energy generation in the Nepalese Himalaya (possessing eight peaks out of 14 over 8000 m) with a tremendous hydropower potential (∼50,000 MW). A planned 1200 MW storage type Budhigandaki Hydroelectricity Project is taken as a case. We estimated the energy generation for the baseline as well as 10 CC scenarios considering RCPs 4.5 and 8.5 at monthly, seasonal, and annual temporal scales for the mid-century. Results show that energy generation is highly dependent on the reservoir operating rule. The average annual energy generation is expected to vary within −5 to +12% of the base case in the mid-century, with significant variations across the months. We also infer that designing hydro-projects based on ensembled climate values could lead to a “rosy” but less probable and risky picture of energy generation in the future. Therefore, assessment of a wide spectrum of plausible CC scenarios are recommended. Storage type projects with provision of flexible operating rules considering finer temporal resolution and allocation to competing users (in case of multipurpose projects) supported by appropriate policies are desirable for climate resiliency. Complementing the existing energy generation mix with other technologies in areas where hydroelectricity is expected to undergo adverse impacts of CC is warranted for attaining future energy security and environmental safeguarding. Possibility of additional energy due to CC is a strong motivation for this region to focus on hydroelectricity development in the future.

A new optimization approach for the use of hybrid renewable systems in the search of the zero net energy consumption in water irrigation systems

The search of the sustainability in the water system and the improvement of the different targets, which are included in the different sustainable development goals. It implies the water managers must define new strategies, which define the establishment of new investment and making-decision in this alignment. The new proposed approach proposes the use of hybrid renewable systems, which are optimized by two simulated annealing procedures included inside of the methodology. It is applied in a real irrigation network where there are pump stations. The methodology chooses the best location of the microhydropowers systems and the selection of the best machine between a database of 674 pump working as turbines defining the minimum area of photovoltaic systems to be feasible the hybrid renewable system by a techno-economical analysis. The applied optimization procedure reached an annual average self-consumption energy value above 0.9, showing an annual positive energy balance of 283 MWh, using renewable energies and they could be sold to the grid. The environmental analysis shows both an annual reduction of 2838 tones of CO2 emissions and 553 MWh generated using non-renewable energies.