Energy consumption modeling of production process for industrial factories in a day ahead scheduling with demand response

Industrial electricity demand is growing rapidly, whereby, energy consumption modelling and optimization techniques in industries has attracted significant attention in recent years. In this paper, a new model of energy consumption in the production process of aluminum, steel and cement is presented in accordance with a linear piece-wise approximation (LPWA) method. The proposed model is subsequently implemented in the day ahead energy management scheduling of a Microgrid (MG) (involving industrial factories). In order to increase efficiency and give industries an opportunity to contribute in the energy and ancillary services markets, demand response (DR) programs are implemented. The proposed scheduling model considers all the constraints of industrial factories and the MG to maximize their revenue. The performance of the proposed model is evaluated using three case studies. The first and second case studies respectively investigate the effectiveness of the proposed model with and without the implementation of DR programs. In the third case study, the coordination between industrial factories and a MG is investigated. Finally, the results show that the implementation of DR programs and participation of industrial factories in the energy and ancillary services markets, have improved the demand curve, hence increasing the revenue of the MG and industrial factories

Investigating Smart City Development Based on Green Buildings, Electrical Vehicles and Feasible Indicators

With a goal of achieving net-zero emissions by developing Smart Cities (SCs) and industrial decarbonization, there is a growing desire to decarbonize the renewable energy sector by accelerating green buildings (GBs) construction, electric vehicles (EVs), and ensuring long-term stability, with the expectation that emissions will need to be reduced by at least two thirds by 2035 and by at least 90% by 2050. Implementing GBs in urban areas and encouraging the use of EVs are cornerstones of transition towards SCs, and practical actions that governments can consider to help with improving the environment and develop SCs. This paper investigates different aspects of smart cities development and introduces new feasible indicators related to GBs and EVs in designing SCs, presenting existing barriers to smart cities development, and solutions to overcome them. The results demonstrate that feasible and achievable policies such as the development of the zero-energy, attention to design parameters, implementation of effective indicators for GBs and EVs, implementing strategies to reduce the cost of production of EVs whilst maintaining good quality standards, load management, and integrating EVs successfully into the electricity system, are important in smart cities development. Therefore, strategies to governments should consider the full dynamics and potential of socio-economic and climate change by implementing new energy policies on increasing investment in EVs, and GBs development by considering energy, energy, techno-economic, and environmental benefits

Investigating Smart City Development Based on Green Buildings, Electrical Vehicles and Feasible Indicators

open access articleWith a goal of achieving net-zero emissions by developing Smart Cities (SCs) and industrial decarbonization, there is a growing desire to decarbonize the renewable energy sector by accelerating green buildings (GBs) construction, electric vehicles (EVs), and ensuring long-term stability, with the expectation that emissions will need to be reduced by at least two thirds by 2035 and by at least 90% by 2050. Implementing GBs in urban areas and encouraging the use of EVs are cornerstones of transition towards SCs, and practical actions that governments can consider to help with improving the environment and develop SCs. This paper investigates different aspects of smart cities development and introduces new feasible indicators related to GBs and EVs in designing SCs, presenting existing barriers to smart cities development, and solutions to overcome them. The results demonstrate that feasible and achievable policies such as the development of the zero-energy, attention to design parameters, implementation of effective indicators for GBs and EVs, implementing strategies to reduce the cost of production of EVs whilst maintaining good quality standards, load management, and integrating EVs successfully into the electricity system, are important in smart cities development. Therefore, strategies to governments should consider the full dynamics and potential of socio- economic and climate change by implementing new energy policies on increasing investment in EVs, and GBs development by considering energy, energy, techno-economic, and environmental benefits