This paper provides a systematic literature review on simplified building modelso Questions are answered like： What kind of modelling approaches are applied？ What are their （dis）advantages？ What are important mod...This paper provides a systematic literature review on simplified building modelso Questions are answered like： What kind of modelling approaches are applied？ What are their （dis）advantages？ What are important modelling aspects？ The review showed that simplified building models can be classified into neural network models （black box）, linear parametric models （black box or grey box） and lumped capacitance models （white box）. Research has mainly dealt with network topology, but more research is needed on the influence of input parameters. The review showed that particularly the modelling of the influence of sun irradiation and thermal capacitance is not performed consistently amongst researchers. Furthermore, a model with physical meaning, dealing with both temperature and relative humidity, is still lacking. Inverse modelling has been widely applied to determine models parameters. Different optimization algorithms have been used, but mainly the conventional Gaus-Newton and the newer genetic algorithms. However, the combination of algorithms to combine their strengths has not been researched. Despite all the attention for state of the art building performance simulation tools, simplified building models should not be forgotten since they have many useful applications. Further research is needed to develop a simplified hygric and thermal building model with physical meaning.展开更多
Industrial hails are characterized with their retatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic （PV） systems, on the rooftop. To promote dep...Industrial hails are characterized with their retatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic （PV） systems, on the rooftop. To promote deployment of renewable energy generation, feed-in tariff （FIT） higher than the electricity rate is available in many countries to subsidize the capital investment. FIT comes in different forms. For net FIT, in order to maximize the economic benefit, surplus electridty generation at each hour is desirable. One way to achieve surplus electricity generation is by increasing generation capacity, which is synonymous to higher capital investment. In fact, surplus electricity generation can also be achieved by lowering the energy demand of the building. This particularly the case for industrial hatls, which are usually subject to high energy demand for space conditioning in order to remove the excess heat gain due to the many power-intensive processes. Building energy performance simulation toots can be used to explore the different building design options that could lower the energy demand. In this paper, single-objective optimization on investment return will be deployed to study the cost effectiveness among different options in lowering energv demand. It Will-be demonstrated with a case study of a warehouse.展开更多
文摘This paper provides a systematic literature review on simplified building modelso Questions are answered like： What kind of modelling approaches are applied？ What are their （dis）advantages？ What are important modelling aspects？ The review showed that simplified building models can be classified into neural network models （black box）, linear parametric models （black box or grey box） and lumped capacitance models （white box）. Research has mainly dealt with network topology, but more research is needed on the influence of input parameters. The review showed that particularly the modelling of the influence of sun irradiation and thermal capacitance is not performed consistently amongst researchers. Furthermore, a model with physical meaning, dealing with both temperature and relative humidity, is still lacking. Inverse modelling has been widely applied to determine models parameters. Different optimization algorithms have been used, but mainly the conventional Gaus-Newton and the newer genetic algorithms. However, the combination of algorithms to combine their strengths has not been researched. Despite all the attention for state of the art building performance simulation tools, simplified building models should not be forgotten since they have many useful applications. Further research is needed to develop a simplified hygric and thermal building model with physical meaning.
文摘Industrial hails are characterized with their retatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic （PV） systems, on the rooftop. To promote deployment of renewable energy generation, feed-in tariff （FIT） higher than the electricity rate is available in many countries to subsidize the capital investment. FIT comes in different forms. For net FIT, in order to maximize the economic benefit, surplus electridty generation at each hour is desirable. One way to achieve surplus electricity generation is by increasing generation capacity, which is synonymous to higher capital investment. In fact, surplus electricity generation can also be achieved by lowering the energy demand of the building. This particularly the case for industrial hatls, which are usually subject to high energy demand for space conditioning in order to remove the excess heat gain due to the many power-intensive processes. Building energy performance simulation toots can be used to explore the different building design options that could lower the energy demand. In this paper, single-objective optimization on investment return will be deployed to study the cost effectiveness among different options in lowering energv demand. It Will-be demonstrated with a case study of a warehouse.
