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Energy is essential for crucial development in Africa. The current electricity shortages and load shedding in South Africa show that the country faces significant challenges in reaching positive economic growth. For industries to operate sustainably, an innovative mechanism must be tailored to solve the negative impacts of industrial energy use, particularly climate change. This study aims to show how renewable energy technologies can provide new economic opportunities, contribute to higher standards of living, and reduce the impacts of society on ecosystems, among other things. This paper presents a feasibility analysis and optimization of new energy technologies by designing and simulating a grid-connected PV system for sustainable development. PV Syst software (PV Syst 6.8.8) was used to simulate and optimize the PV system. The software was employed to design and model the PV systems, calculating energy production, economic performance, and environmental impact. Using simulation data, the researchers compared PV system performance across three scenarios and identified the optimal system. Scenario A was chosen as the best system, with an energy production of 1720 MWh/year. Overall, the findings of this study suggest that grid-connected PV systems are a feasible and sustainable option for meeting South Africa's energy needs. By implementing the results and recommendations, the government, investors, and community can work together to develop and deploy a successful PV system that will benefit all. [ABSTRACT FROM AUTHOR]

The world has experienced increased impacts of anthropogenic global warming due to increased emissions of greenhouse gases (GHGs), which include carbon dioxide (CO2). Anthropogenic activities that contribute to CO2 emissions include deforestation, usage of fertilizers, and activities related to mining and energy production. The main objective of this paper was to assess the impacts of agriculture and energy production on CO2 emissions in Zambia. This research used econometric analysis, specifically the Autoregressive-Distributed Lag (ARDL) Bounds Test, to analyze the relationship between CO2 emissions and GDP, electricity consumption, agricultural production, and industry value added. The results showed the presence of cointegration, where the variables of CO2 emissions, GDP, electricity, and agriculture converge to a long-run equilibrium at the rate of 74%. Further, there was a short-run causality towards CO2 emissions running from agriculture and the consumption of energy as indicated by the Wald test. This is the first study of its kind that empirically shows the impact of agricultural activities and energy consumption on the Zambian environment through their contribution to CO2 emissions at a macro (country) level. This paper also presents recommendations that are pertinent to mitigate these effects. To deescalate environmental degradation, we propose increasing the number of access points for multiple renewable energy sources across the country; discouraging deforestation, the usage of conventional fertilizers, and the burning of vegetation for fertilizers; encouraging afforestation and reforestation, in addition to providing subsidies, training, and financial support to farmers and entrepreneurs who decide to use environmentally friendly agricultural methods and renewable energy. This research highlights the serious impacts of anthropogenic activities on CO2 emissions. The study was intended to assist Zambian policymakers in formulating and implementing environmentally friendly policy measures or systems that will contribute towards environmental protection commitments and sustainable economic development. [ABSTRACT FROM AUTHOR]

Renewable energy resources and energy-efficient technologies, as well as building retrofitting, are only some of the possible strategies that can achieve more sustainable cities and reduce greenhouse gas emissions. Subsidies and incentives are often provided by governments to increase the number of people adopting these sustainable energy efficiency actions. However, actual sales of green products are currently not as high as would be desired. The present paper applies a hybrid agent-based model (ABM) integrated with a Geographic Information System (GIS) to simulate a complex socio-economic-architectural adaptive system to study the temporal diffusion and the willingness of inhabitants to adopt photovoltaic (PV) systems. The San Salvario neighborhood in Turin (Italy) is used as an exemplary case study for testing consumer behavior associated with this technology, integrating social network theories, opinion formation dynamics and an adaptation of the theory of planned behavior (TPB). Data/characteristics for both buildings and people are explicitly spatialized with the level of detail at the block scale. Particular attention is given to the comparison of the policy mix for supporting decision-makers and policymakers in the definition of the most efficient strategies for achieving a long-term vision of sustainable development. Both variables and outcomes accuracy of the model are validated with historical real-world data. [ABSTRACT FROM AUTHOR]

One of the major challenges faced in the optimization process of existing heating systems is the harnessing and integration of a higher share of renewable energy. Centralized integration at the thermic source leads to high investment costs at the first investment stage, and low values of conversion, transport, and storage efficiencies, due to high levels of heat loss from large-capacity entropic systems. This research paper presents a case study on the partially decentralized integration of thermal solar fields that are used for heat production in crowded urban areas within the optimization process of the existing heating system in the city of Oradea, Romania. A deterministic method was used as the method for the calculation of heat demand, in both stationary—hourly heat demand and dynamic regimes—annual heat demand, and the simulations within the configuration and the optimization process of the hybrid heating systems were carried out. In the case study, four representative urban areas with different thermal densities were analyzed within two working scenarios, which took into account the energy performances of the buildings inside the studied areas before thermal retrofitting, and after a usual thermal retrofit. [ABSTRACT FROM AUTHOR]

Bio-organic greenhouses that are based on alternative resources for producing heat and electricity stand out as an efficient option for the sustainable development of agriculture, thus ensuring good growth and development of plants in all seasons, especially during the cold season. Greenhouses can be used with maximum efficiency in various agricultural lands, providing ideal conditions of temperature and humidity for short-term plant growing, thereby increasing the local production of fruit and vegetables. This paper presents the development of a durable greenhouse concept that is based on complex energy system integrating fuel cells and solar panels. Approaching this innovative concept encountered a major problem in terms of local implementation of this type of greenhouses because of the difficulty in providing electrical and thermal energy from conventional sources to ensure an optimal climate for plant growing. The project result consists in the design and implementation of a sustainable greenhouse energy system that is based on fuel cells and solar panels. [ABSTRACT FROM AUTHOR]