Identification of Cost-Optimal Measures for Energy Renovation of Thermal Envelopes in Different Types of Public School Buildings in the City of Valencia

Abstract

In order to achieve the EU emission reduction goals, it is essential to renovate the building stock, by improving energy efficiency and promoting total decarbonisation. According to the 2018/844/EU Directive, 3% of Public Administration buildings should be renovated every year. So as to identify the measures to be applied in those buildings and obtain the greatest reduction in energy consumption at the lowest cost, the Directive 2010/31/EU proposed a cost-optimisation-based methodology. The implementation of this allowed to carry out studies in detail in actual scenarios for the energy renovation of thermal envelopes of public schools in the city of Valencia. First, primary school buildings were analysed and classified into three representative types. For each type, 21 sets of measures for improving building thermal envelopes were proposed, considering the global cost, in order to learn about the savings obtained, the repayment term for the investment made, the percentage reduction in energy consumption and the level of compliance with regulatory requirements. The result and conclusions will help Public Administration in Valencia to draw up an energy renovation plan for public building schools in the city.

A Multi-Stage Decision Framework for Optimal Energy Efficiency Measures of Educational Buildings: A Case Study of Chongqing

“…Ghalambaz, Yengejeh and Davami carried out a multi-objective optimization for an office building using a grey wolf optimizer to simultaneously minimize energy consumption by lighting, heating and cooling [31]. For decision variables, the multiobjective optimization for building retrofitting involves envelopes [32][33][34], HVAC [35,36] and other control measures [37]. For the envelope, the EEMs discussed most frequently are the insulation materials, insulation thickness, window types and WWR [26,38].…”

A Multi-stage Decision Framework for Optimal Energy Efficiency Measures of Educational Buildings: A case study of Chongqing

“…Ghalambaz, Yengejeh and Davami carried out a multi-objective optimization for an office building using a grey wolf optimizer to simultaneously minimize the energy consumption by lightings and the energy consumption due to heating and cooling [25]. For decision variables, the multi-objective optimization for building retrofitting involves envelope [26][27][28], HVAC [29,30] and other control measures [31]. For envelope, the EEMs discussed most frequently were the insulation materials, insulation thickness, window types and window-wall ratio (WWR) [20,32].…”