Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality

Ascione, Fabrizio; Bianco, Nicola; Stasio, Claudio De; Mauro, Gerardo Maria; Vanoli, Giuseppe Peter

doi:10.1016/j.apenergy.2016.04.078

Cited by 171 publications

(100 citation statements)

References 56 publications

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“…This choice allows coverage of a wide share of Italian public administration buildings. Other building functions, such as hospitals, are not taken into account because they present unique and complex energy performance factors, thereby requiring specific investigations, as done in [37].…”

Section: Step 1: Subdivision Of the Building Stock Into Categoriesmentioning

confidence: 99%

Addressing Large-Scale Energy Retrofit of a Building Stock via Representative Building Samples: Public and Private Perspectives

et al. 2017

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Scientific literature about energy retrofit focuses on single buildings, but the investigation of whole building stocks is particularly worthy because it can yield substantial energy, environmental and economic benefits. Hence, how to address large-scale energy retrofit of existing building stocks? The paper handles this issue by employing a methodology that provides a robust energy analysis of building categories. This is denoted as SLABE, "Simulation-based Large-scale uncertainty/sensitivity Analysis of Building Energy performance". It was presented by the same authors and is here enhanced to investigate a whole and heterogeneous building stock that includes various categories. Each category is represented via a Representative Building Sample (RBS), which is defined through Latin hypercube sampling and uncertainty analysis. Hence, optimal retrofit packages are found in function of building location, intended use and construction type. Two families of optimal solutions are achieved. The first one collects the most energy-efficient (and thus sustainable) solutions, among the ones that produce global cost savings, thereby addressing the public perspective. The second one collects cost-optimal solutions thereby addressing the private perspective. EnergyPlus is employed as a simulation tool and coupled with MATLAB ® for data analysis and processing. The methodology is applied to a significant share of the Italian public administration building stock, which includes several building categories depending on location, use destination and construction type. The outcomes show huge potential energy and economic savings, and could support a deep energy renovation of the Italian building stock.

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Section: Step 1: Subdivision Of the Building Stock Into Categoriesmentioning

confidence: 99%

Addressing Large-Scale Energy Retrofit of a Building Stock via Representative Building Samples: Public and Private Perspectives

et al. 2017

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“…The value of IC is 500 -3000  tic € per m 3 of polyurethane [2]. air-source electric heat pump (AHP) with COP (coefficient of performance) equal to 3.7 at rated conditions (water temperatures = 45/50 °C , external air temperature = 7 °C); IC is equal to 150  Pt + 5'000 € [2]; -ground-source electric reversible heat pump (GHP) with geothermal vertical probes; the COP in heating operation is equal to 4.5 [5] at rated condition and IC is equal to 700P + 20'000 €, where P is the maximum value between heating and cooling capacity.…”

Section: Investigated Ermsmentioning

confidence: 99%

“…(a) Thermal insulation of the external vertical walls by installing an external layer of polyurethane (thermal conductivity = 0.028W/m K, density= 25 kg/m 3 , specific heat = 1340 J/kg K [5]) of thickness tiv. For each building, tiv is such to yield the limit (maximum) value of walls' thermal transmittance (Uv) prescribed by Italian law to obtain public financial incentives (see Table 4).…”

Section: Investigated Ermsmentioning

confidence: 99%

“…The costoptimal energy retrofit is given by the package of energy retrofit measures (ERMs) that minimizes GC. This ensures a good trade-off between the public and private perspectives [5].…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

“…These should represent all building categories in which the national building stocks can be subdivided. The cost-optimal retrofit solutions that are identified for the reference buildings are, then, considered valid for the members (buildings) of the represented categories [5,7]. Definitely, this approach implies acceptable computational times and efforts because only a few buildings, i.e., the reference buildings, are investigated via the cost-optimal methodology.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

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A methodology to assess and improve the impact of public energy policies for retrofitting the building stock: application to Italian office buildings

Ascione¹,

Bianco²,

Stasio³

et al. 2016

IJHT

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Public energy policies must support the deep energy retrofit of buildings in order to fight climate change and energy poverty. Assessing the impact of such policies is extremely important because the supported energy retrofit measures (ERMs) can ensure huge energy, economic and environmental benefits. However, the energy investigation of wide building stocks is very complex. This issue is here tackled by using and enhancing the methodology SLABE ('Simulation-based Large-scale uncertainty/sensitivity Analysis of Building Energy performance'), which conducts reliable analyses of energy retrofitting building categories. SLABE employs Latin hypercube sampling to generate Representative Building Samples (RBSs), which represent the energy behaviour of the explored building stock. Then, post-processing is applied to assess the impact of proper ERMs on energy consumption, polluting emissions and lifecycle costs. Thus, the cost-optimal retrofit solutions are found in absence and presence of financial incentives, respectively. The outcomes are exploited to assess the effectiveness of current energy policies and to propose potential improvements for harmonizing the public and private perspectives. The methodology combines EnergyPlus and MATLAB®. As case study, it is applied to the Italian office building stock. The outcomes show huge potential energy and cost savings as well as polluting emission reductions.

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Introduction

Seyedzadeh¹,

Rahimian²

2021

Green Energy and Technology

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Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality

Cited by 171 publications

References 56 publications

Addressing Large-Scale Energy Retrofit of a Building Stock via Representative Building Samples: Public and Private Perspectives

Addressing Large-Scale Energy Retrofit of a Building Stock via Representative Building Samples: Public and Private Perspectives

A methodology to assess and improve the impact of public energy policies for retrofitting the building stock: application to Italian office buildings

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