3.1. Energy demand modeling
Energy demand modeling seeks to quantify the energy requirements as a function of input parameters. Models may be used for various reasons. The most common goal of the energy models are the determination of regional and national energy supply requirements
and the change in energy demand of a particular sector to an upgrade or addition of technology.The reasons for modeling industrial energy consumption are as varied as the ways in which energy is used in production processes [40]. Energy models are useful as they can guide decisions of policy regarding energy supply and transmission. By quantifying the consumption and predicting the impacts or savings due to retrofits,
decisions are made to support energy supply, retrofit, and technology incentives. Researchers and scientists tried to develop integrated energy models for both traditional and renewable energy sources. Comprehensive overviews of the various types of energy modeling are presented in several review papers [41e43]. The practice of modeling energy demand is necessarily a synthesis of data and method [40]. Energy models rely on data to simulate energy consumption. Based on the level of detail of the
input data, different modeling techniques may be used. Different modeling methods have various positive and negative points, capabilities,and applications.
3.1. Energy demand modelingEnergy demand modeling seeks to quantify the energy requirements as a function of input parameters. Models may be used for various reasons. The most common goal of the energy models are the determination of regional and national energy supply requirementsand the change in energy demand of a particular sector to an upgrade or addition of technology.The reasons for modeling industrial energy consumption are as varied as the ways in which energy is used in production processes [40]. Energy models are useful as they can guide decisions of policy regarding energy supply and transmission. By quantifying the consumption and predicting the impacts or savings due to retrofits,decisions are made to support energy supply, retrofit, and technology incentives. Researchers and scientists tried to develop integrated energy models for both traditional and renewable energy sources. Comprehensive overviews of the various types of energy modeling are presented in several review papers [41e43]. The practice of modeling energy demand is necessarily a synthesis of data and method [40]. Energy models rely on data to simulate energy consumption. Based on the level of detail of theinput data, different modeling techniques may be used. Different modeling methods have various positive and negative points, capabilities,and applications.
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3.1 3.1. Energy demand modeling
ความต้องการพลังงานการสร้างแบบจำลองการสร้างแบบจำลองความต้องการพลังงานพยายามที่จะวัดปริมาณความต้องการพลังงานเป็นหน้าที่ของพารามิเตอร์ใส่ รุ่นอาจจะใช้สำหรับเหตุผลต่างๆ Energy demand modeling seeks to quantify the energy requirements as a function of input parameters. Models may be used for various reasons. The most common goal of the energy models are the determination of regional and national energy supply requirements
and the change in energy demand of a particular sector to an upgrade or addition of technology.The reasons for modeling industrial energy consumption are as varied as the ways in which energy is used in production processes [40]. Energy models are useful as they can guide decisions of policy regarding energy supply and transmission. By quantifying the consumption and predicting the impacts or savings due to retrofits,
decisions are made to support energy supply, retrofit, and technology incentives. Researchers and scientists tried to develop integrated energy models for both traditional and renewable energy sources. Comprehensive overviews of the various types of energy modeling are presented in several review papers [41e43]. The practice of modeling energy demand is necessarily a synthesis of data and method [40]. Energy models rely on data to simulate energy consumption. Based on the level of detail of the
input data, different modeling techniques may be used. Different modeling methods have various positive and negative points, capabilities,and applications.
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