@misc{Mulani, type = {Master Thesis}, author = {Mulani, Arshad}, title = {Modelling and Multi-Objective Optimization of a Building Heating Generation System: A case study of Hechingen, Germany}, school = {Hochschule Rhein-Waal}, abstract = {Nowadays, the world is facing major environmental problems such as climate change and energy scarcity. If we consider only European countries, Heating and cooling industry accounts for more than half of the total EU's energy consumption. And about 75\% of the heat is generated by using fossil fuels. Therefore, the major non-renewable energy sources are depleting at the rapid rate and at the same time also producing the climate-changing greenhouse gases. To achieve the climate change objectives, optimised and efficient use of the energy and the decarbonisation of the heating systems are some of the critical steps. The investigation process in this thesis involves the modelling and modifying the case study heating system by using Energy Plus and Design-Builder whole building energy simulation software. It also includes the investigation of the three different possible renewable and non-renewable solutions to optimize the current heating system and analyse their effects in terms of total energy consumption (Gas and Electricity consumption) Economic benefits, environmental and other benefits. With the detail and adequate data inputs modelling and desired modifications has been done to the heating system and the building properties. The annual simulation has been performed to all the three cases and the results have been analysed. The outcome of the analysis of the results shows a significant improvement in overall energy and electricity consumption. Also provides a detailed insight into the total economical investment needed in all three cases and simple payback periods for the investments. And Most importantly the results replicate the environmental benefits such as a considerable reduction in the overall emissions of greenhouse and other toxic gases.}, language = {en} }