Building Energy Assessment and Computer Simulation Applied to Social Housing in Spain

Aranda, Juan; Zabalza, Ignacio; Llera‐Sastresa, Eva; Scarpellini, Sabina; Alcalde, Alfonso

doi:10.3390/buildings8010011

Cited by 13 publications

(8 citation statements)

References 54 publications

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“…Despite a recent renovation of this residence, energy expenses remained high regarding the renovation program expectations. This result seems to be coherent with the findings of research conducted by (Enertech 2012), (Juan et al 2018) and (Elsharkawy and Rutherford 2015) [3][4][5].…”

Section: Introductionsupporting

confidence: 91%

“…In addition, this sector suffers from ageing, which results in high energy consumption as well as in high running expenses, degraded quality of life, and high pressure on the budget of low-income occupants. Energy consumption in social housing has been explored in Australia, the Netherlands, the United Kingdom, and Spain [1][2][3][4]. This research confirms the necessity to reduce energy consumption in this sector in order to meet national and regional environmental strategies as well as to improve the quality of life for occupants and to reduce the pressure on the budget of low-income residents.…”

Section: Introductionmentioning

confidence: 52%

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Impact of Smart Monitoring on Energy Savings in a Social Housing Residence

2020

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Energy consumption in the social housing sector constitutes a major economic, social, and environmental issue, because in some countries such as France, social housing accounts for about 19% of the housing sector. In addition, this sector suffers from ageing, which results in high energy consumption, deterioration in the occupant quality of life, and high pressure on the budget of low-income occupants. The reduction of the energy consumption in this sector becomes a “must”. This reduction can be achieved through energy renovation and innovation in both energy management and occupant involvement by using smart technology. This paper presents a contribution to this goal through the investigation of the impact of smart monitoring on energy savings. The research is based on monitoring of comfort conditions in an occupied social housing residence in the North of France and the use of building thermal numerical modeling. Results of monitoring show that the indoor temperature largely exceeds the regulations requirements and the use of a smart system together with occupant involvement could lead to significant savings in heating energy consumption. The novelty in this paper concerns the use of comfort data from occupied social housing residence, occupation conditions, and building thermal modeling to estimate energy savings. The proposed methodology could be easily implemented to estimate heating energy savings in social housing buildings that lack individual energy consumption monitoring.

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Section: Introductionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 52%

Impact of Smart Monitoring on Energy Savings in a Social Housing Residence

2020

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“…Reasons for the performance gap are an inadequate assumption of the actual indoor temperature, the influence of user behaviour on actual consumption, and differences between the theoretical calculation and the actual building quality of dwellings. Aranda et al (2018) found that the energy performance gap for social housing is even larger than the energy performance gaps found for other dwellings. Duvier et al (2018) argue that it can be difficult to build and use high-quality datasets.…”

Section: Benchmarking the Energy Performance Of Dwellingsmentioning

confidence: 87%

Benchmarking energy performance: indicators and models for Dutch housing associations

Bent

Visscher

Meijer

et al. 2022

Buildings and Cities

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Benchmarking is a method that can be used to measure progress and create awareness about the performance of organisations. Benchmarking the housing stock energy performance of Dutch housing associations can be used to measure and assess progress towards the decarbonisation of the housing stock. A new national climate agreement was signed in 2019, and in 2021 a new method to determine the theoretical energy performance of dwellings came into force in the Netherlands. To benchmark energy performance, a set of indicators is created that adequately represents the performance of Dutch housing associations according to the changed policies. A process involving key stakeholders is presented here to identify, assess and combine possible indicators. These were then integrated into four integrated models, which led to a final benchmark model. A model was chosen that consists of three indicators covering the energy performance of Dutch housing associations. The process and arguments that led to this final model are presented. While applicable within the Dutch context, the method and research results provide generalisable insights for the creation of energy performance benchmarks for building stocks. 418 van der Bent et al. Buildings and Cities

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“…Lamport's bakery algorithm is a computer algorithm suggested by computer expert Leslie Lamport, who wants to improve the convenience of using shared resources in many threads in the context of mutual exclusion [5], [6]. In computer science, it is common for multiple threads to access the same resources simultaneously.…”

Section: Methodsmentioning

confidence: 99%

Design Simulation Queue Cake Shop With Lamport's Bakery Algorithm

Manaha

Summah

2021

Info Sains

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Mutual exclusion is one of the mechanisms that can be used to solve concurrency problems in the operating system. In the operating system, there are resources that cannot be shared at the same time, such as printers. These kinds of resources are called critical resources. Programs that use critical resources are called entering critical regions/sections. Programmers cannot rely on the operating system to understand and enforce these limits. The mutual exclusion settlement process was submitted by several experts. One of them is Lamport with a method known as Lamport's Bakery Algorithm. The work process of Lamport's Bakery Algorithm starts from the buyer entering the store and receiving the sequence number. If there is a waiter who is idle (not being / will serve other buyers), then the buyer directly asks for service from the waiter. If not, then the buyer sits in the buyer's waiting area and waits until his turn. Shoppers who have finished being served out of the store and waiters who are idle serve the lowest numbered buyers who are waiting at the waiting place of the buyer

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Building Energy Assessment and Computer Simulation Applied to Social Housing in Spain

Cited by 13 publications

References 54 publications

Impact of Smart Monitoring on Energy Savings in a Social Housing Residence

Impact of Smart Monitoring on Energy Savings in a Social Housing Residence

Benchmarking energy performance: indicators and models for Dutch housing associations

Design Simulation Queue Cake Shop With Lamport's Bakery Algorithm

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