Solar Engineering Of Thermal Processes

Multi-objective optimization of passive energy efficiency measures for net-zero energy building in Morocco

Optimizing the solar-air hybrid source heat pump heating system based on the particle swarm algorithm


One-third of all greenhouse gas emissions come from the world's building stock while accounting for 40% of global energy use. There is no way to combat global warming or attain energy independence without addressing the inefficiency of the building sector. This sector is the second consumer of electricity after the industrial sector in Morocco and is ranked third emitter after the energy sector and transportation sector. Using Ifrane as a case study, this paper examines and reviews the city's energy use and the initiatives taken to improve building efficiency. The findings showed that, during the analyzed period, i.e., from 2014 to 2022, Ifrane's annual electricity consumption climbed steadily from 35 to 43 GWh. The government of Morocco has implemented effective laws, guidelines and regulations, as well as publicized ways to reduce energy consumption and increase energy efficiency. However, gathered data and survey results revealed opportunities and challenges for enhancing Ifrane's efficient energy use. 

The study also evaluates government programs, codes/standards and related actions for the improvement of household energy efficiency. As part of the review, the available literature was analyzed to assess the effectiveness of energy behavior and awareness, the impact of an economical and sustainable building envelope, the impact of building retrofitting programs, the importance of energy-performing devices and appliances, the adoption of smart home energy management systems, the integration of renewable energies for on-site clean energy generation and the role of policies and governance in the building sector in Ifrane. A benchmark evaluation and potential ideas are offered to guide energy policies and improve energy efficiency in Ifrane and other cities within the same climate zone.


Activity and efficiency of the building sector in Morocco: A review of status and measures in Ifrane

Technical, economic, and environmental analysis of grid-connected photovoltaic/thermal system for residential application in MENA region

The worldwide demographic and economic growth increases the global need for energy and directly contributes to climate change. In Morocco, the residential real estate is the third largest consumer of energy after transport and industry sectors. Thus, the aim of this study is to help engineers improve the energy performance of residential buildings by coupling the TRNSYS software both with a sensitivity analysis method and with an optimization tool. In fact, sensitivity analysis allows reducing the number of input parameters of any studied model, by ranking their degree of impact on any chosen output, and then discard the parameters with the least influence on that output. To do so, we developed algorithms in Python programming language to combine the open source library SALib, available in Github platform, with the TRNSYS software. Then, the chosen input parameters can be optimized through coupling the generic optimization program Genopt with TRNSYS. This article will also explain how these tools were applied to reduce the heating & air-conditioning needs of a high-energy consumption building in Morocco, while studying the variation of nineteen input parameters in TRNSYS. The main aim is to meet the energy performance requirement of the Moroccan thermal regulation for buildings.  

/pdf/application-of-sensitivity-analysis-and-genopt-to-optimize-45vi0v8icf.pdf

Application of sensitivity analysis and genopt to optimize the energy performance of a building in Morocco

This paper describes a general multi-objective optimization approach of the energy performance of buildings using genetic algorithms, and the forecast of future energy needs according to the IPCC climate change scenarios. To this end, the energy performance of a family house is optimized and the optimal solution is studied in a future context marked by global warming and rise of temperatures.

https://ww.sciencepubco.com/index.php/ijet/article/download/23235/11595

Multi-Objective Optimization of a Family House Performance and Forecast of its Energy Needs by 2100

/pdf/technical-economical-assessment-of-a-hybrid-pv-thermal-4pdf8mykqv.pdf

Technical & economical assessment of a hybrid PV thermal system in Morocco

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Application of sensitivity analysis and genopt to optimize the energy performance of a building in Morocco

Multi-Objective Optimization of a Family House Performance and Forecast of its Energy Needs by 2100

Technical & economical assessment of a hybrid PV thermal system in Morocco