Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process

Roberti, Francesca; Oberegger, Ulrich Filippi; Lucchi, Elena; Troi, Alexandra

doi:10.1016/j.enbuild.2016.12.028

Cited by 141 publications

(96 citation statements)

References 15 publications

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“…Therefore, the EneryPlus tool allows to accurately simulate the building energy consumption for heating, cooling, lighting, the thermal loads, the ventilation, and the water use. The ESP‐r ‘Energy Simulation Software tool’ is a mathematical tool able to combine data, simulation, CAD applications, and different tools for evaluating performance, display, and report generators . In this case, the creation of the building geometry can be carried out in CAD tools and then imported.…”

Section: Building Dynamic Simulation Basicsmentioning

confidence: 99%

Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

Castaldo

Pisello

2017

WIREs Energy & Environment

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The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from very preliminary phases, since they allow an accurate prediction of the constructions requirements, their environmental performance, and indoor comfort conditions for their occupants. Therefore, starting from specific inputs, that is, weather conditions, construction technologies, materials, energy systems, operation settings, occupancy, and so forth, it is possible to estimate the realistic building energy performance. Moreover, the calibration procedures allow making the model even more representative of the field conditions of a construction. Given the massive progress carried out by the scientific community during the last decades, this paper presents a comprehensive review of the different building dynamic simulation approaches and available tools. While previous review studies focused on single separated aspects of dynamic simulations approaches, that is, calibration methods, software, simulation of single building energy systems, the aim of the present review is to propose a more holistic approach by investigating the recent scientific progress in simulating realistic dense urban environments. In this view, the review focus bridges the gap between the simulation at single-building level and simulation at the increasingly important neighborhood scale by showing the multiple benefits deriving from using dynamic simulation tools at district level, for a more reliable investigation of building performance in their urban context, where more than 50% of the global population worldwide currently lives.

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Section: Building Dynamic Simulation Basicsmentioning

confidence: 99%

Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

Castaldo

Pisello

2017

WIREs Energy & Environment

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“…The multi-objective optimization analysis helps identify those factors of significant influence in a complicated system and deals with the optimized choices for multiple objectives [38], which is in line with the focus of this paper. Among the approaches to multi-objective optimization, the analytical hierarchy process (AHP) is widely used in the research regarding building EE promotion [12,39]. For example, Roberti et al utilized the AHP process to determine the portfolio of optimal retrofits of historic building, by quantifying the intrinsically qualitative conservation compatibility of energy retrofits so that it could be analyzed along with the quantitively expressed energy savings and thermal comfort.…”

Section: Introductionmentioning

confidence: 99%

What Affects the Progress and Transformation of New Residential Building Energy Efficiency Promotion in China: Stakeholders’ Perceptions

Zhu

Qin

2019

Energies

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Nationwide energy efficiency (EE) promotion of new residential buildings is affected by multiple factors regarding policies, markets, technologies, capacities, and economics. The perceived influences of these factors by stakeholders are crucial to the effectiveness evaluation of current policies and the selection of policy instruments. However, they are normally assumed or taken for granted. The knowledge gap between stakeholders’ perceptions and research assumptions may lead to researchers’ recognition bias. Correspondingly, this paper aims to identify the significant factors, perceived by frontline stakeholders, influencing nationwide EE promotion of new residential buildings before 2020 and 2030. Factors were collected through literature review and their influence were evaluated via Analytical Hierarchy Process based on the data collected in the questionnaires distributed to 32 institutes. The theory of Nested Policy Design Framework and Policy Environment was used to structure the hierarchy and generate policy implications. Results indicate that (1) policy factors are of the greatest influence before 2020 and market perfection factors will have great influences from 2020 to 2030, indicating the transformation of governance arrangement to “market-based” and “network-based” from the current legal-based system; and (2) factors regarding market needs are of significant influence in both terms, revealing the way the transformation should be accomplished.

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“…In the last years, an increasing attention has been paid to the energy refurbishment of the existing buildings (Mazzarella 2015), both modern and historical buildings, which belong to public institutions (Ascione et al 2017;Cornaro et al 2016;Semprini et al 2016). Even though in Italy the energy retrofit for the historical buildings is not mandatory due to the priority of conservation heritage, several studies about this issue have been conducted by combining experimental data and whole-building dynamic simulation (Bellia et al 2015;Dalla Mora et al 2015;Lucchi 2016;Roberti et al 2017). However, to take advantages of simulations, the calibration of building model is necessary.…”

Section: Introductionmentioning

confidence: 99%

A method for an effective microclimate management in historical buildings combining monitoring and dynamic simulation: the case of “Museo Archeologico di Priverno”

Frasca¹,

Cornaro²,

Siani³

2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

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In this work a method is proposed to estimate the effect of indoor microclimate on the risk of degradation of ancient materials stored in historical buildings. The method, which combines microclimate observations and dynamic simulation, has shown to be strategic in preventive conservation of historical buildings. Indeed, once the building model is calibrated, it can be effectively used for evaluating the microclimate control solutions on the conservation reducing general degradation risks. The method has been applied to a historical building close to Rome, where deteriorations in ceilings occurred and visitors complain about thermal discomfort. First, the HVAC system in the model has set in order to guarantee both thermal comfort and adequate condition for the conservation of the material. Then, the crack width of wooden ceiling has been estimated by means of an empirical model based on indoor temperature and relative humidity data and validated with the measurements of the crack width. It was found a reduction of annual variation from 0.4 mm to 0.2 mm, experimented by panels, and an improvement of maximum daily variation, especially in winter and summer (less than 0.01 mm on average).

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Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process

Cited by 141 publications

References 15 publications

Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

What Affects the Progress and Transformation of New Residential Building Energy Efficiency Promotion in China: Stakeholders’ Perceptions

A method for an effective microclimate management in historical buildings combining monitoring and dynamic simulation: the case of “Museo Archeologico di Priverno”

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