Nexus of electrification and energy efficiency retrofit of commercial buildings at the district scale

Hong, Tianzhen; Lee, Sang Hoon; Zhang, Wanni; Sun, Kaiyu; Hooper, Barry; Kim, Jang-Hyun

doi:10.1016/j.scs.2023.104608

Cited by 10 publications

(3 citation statements)

References 29 publications

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“…Deep energy efficiency is needed in the commercial sector, both to ease the challenges from electrification and to adapt to a changing climate. 1 Existing buildings, with their slow turnover rate, present significant opportunities for improvement, especially when leveraging data from distributed sensors. 2 By establishing high-quality data benchmarks and analytics, we can gain insights into energy use patterns to improve efficiency and operational performance.…”

Section: Introductionmentioning

confidence: 99%

Data-driven characterization of cooling needs in a portfolio of co-located commercial buildings

Naeem,

Benson,

de Chalendar

2024

iScience

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Section: Introductionmentioning

confidence: 99%

Data-driven characterization of cooling needs in a portfolio of co-located commercial buildings

Naeem,

Benson,

de Chalendar

2024

iScience

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“…To the authors' knowledge, this study is the first of its kind, in that it develops a low-cost methodology that SMCB owners themselves can implement to identify buildings that need retrofits as well as potential retrofits for these buildings. Moreover, in targeting owner-operators, this methodology addresses two oft-cited barriers to implementing energy retrofits in SMCBs [8,9,[12][13][14]: (1) that SMCB users may not own the facility, and thus may not capture the energy cost savings and (2) that the SMCB user's core business is not energy efficiency, so by extension, time and effort spent on energy retrofits would be deemed "non value added. "…”

Section: Introductionmentioning

confidence: 99%

Empowering Owner-Operators of Small and Medium Commercial Buildings to Identify Energy Retrofit Opportunities

Rios,

Al Sultan,

Chong

et al. 2023

Energies

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Small and medium commercial buildings account for nearly half of the energy consumed by commercial buildings in the United States. While energy retrofits can significantly reduce building energy consumption, buildings’ owners often lack the capital and experience to perform detailed energy audits and retrofit assessments. The purpose of this paper is to introduce a low-investment, bottom-up and simplified methodology for identifying energy retrofit opportunities that benefit the owners of small and medium sized office buildings In particular, the paper addresses small and medium commercial buildings on a university campus as a proof-of-concept for other owner-operators that have small and medium commercial facilities in their portfolio. The methodology consists of an eight-step framework using publicly-available and simplified tools. While energy audits and retrofit opportunity assessments are not new, a low-cost methodology for owner-operators of small and medium commercial buildings to analyze energy consumption and identify retrofit opportunities represents a contribution to knowledge. A medium office building on a university campus in Arizona served as a case study to validate the methodology. The case study showed a maximum potential energy reduction of an estimated 50%, but the figure varies based on the types of retrofit (deep versus light), energy conservation measures selected and implemented, invested resources, and interactive effects between measures. This methodology is extensible to other owner-operators that have building utility data and would like to perform retrofit opportunity assessments themselves.

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“…An ablation study is also conducted to explore how different data sources contribute to the final prediction. The study proposes a bottomup approach to fostering a sustainable city (Hong et al, 2023;Yu et al, 2023). The fine grain of our analysis make it possible to aggregate the result to district and urban level.…”

Section: Introductionmentioning

confidence: 99%

Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK

Sun¹,

Bardhan²

2023

Preprint

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As the urban population continues to expand and is expected to comprise 80% of the total population in 2050, it is crucial to ensure the sustainability and energy efficiency of cities. Among all the homes globally, Hard-to-Decarbonize (HtD) buildings are estimated to be a quarter of them. Identifying the HtD houses and proposing strategies for these houses is important to reach the global net zero target. However, the study of HtD houses has historically been neglected. Previous studies mainly focus on simulating, predicting and understanding attributes that are directly related to energy usage and efficiency. In this research, a methodology for identifying HtD buildings with publicly available data is proposed and tested in Cambridge, UK. A dataset of HtD houses in Cambridge is organized, with criteria derived from the Energy Performance Certificate (EPC), which results from detailed inspections of houses. Street view images (SVI), ariel view images (AVI), land surface temperature (LST), and building stock data are used together for the prediction with deep learning. The classification accuracy for HtD buildings is able to achieve 82\%. This study also explores the minimal data needed for the high-accuracy prediction of HtD houses. Results show that SVI contributes the most to the prediction.

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Nexus of electrification and energy efficiency retrofit of commercial buildings at the district scale

Cited by 10 publications

References 29 publications

Data-driven characterization of cooling needs in a portfolio of co-located commercial buildings

Data-driven characterization of cooling needs in a portfolio of co-located commercial buildings

Empowering Owner-Operators of Small and Medium Commercial Buildings to Identify Energy Retrofit Opportunities

Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK

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