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Journal ArticleDOI

Optimum building energy retrofits under technical and economic uncertainty

Adam Rysanek, +1 more
- 01 Feb 2013 - 
- Vol. 57, pp 324-337
TLDR
In this article, the classical decision theories of Wald, Savage, and Hurwicz are used to perform non-probabilistic optimisation under both technical and economic uncertainty.
About
This article is published in Energy and Buildings.The article was published on 2013-02-01. It has received 165 citations till now. The article focuses on the topics: Robust decision-making.

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Citations
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Journal ArticleDOI

Multi-objectives optimization of Energy Efficiency Measures in existing buildings

TL;DR: In this article, the authors investigated the relationship between the initial characteristics of residential buildings and the definition of optimal retrofit solutions in terms of either maximum economic performance, or energy consumption minimization towards nZEBs behaviour for the lowest achievable thermal discomfort.
Journal ArticleDOI

An optimization framework for building energy retrofits decision-making

TL;DR: In this article, the authors proposed a decision-making framework that calculates the economic benefits of energy retrofitting in terms of reduction of life-cycle cost for a specific building during its service life.
Journal ArticleDOI

A review of uncertainty characterisation approaches for the optimal design of distributed energy systems

TL;DR: The aim of this paper is to identify and categorise the most important uncertain parameters in typical DES design models and review the approaches used in the literature to represent their uncertainty and to assist modellers who wish to introduce uncertainty considerations in their DES design model with the selection of appropriate UC approaches.
Journal ArticleDOI

Thermal insulation alternatives of historic brick buildings in Baltic Sea Region

TL;DR: In this paper, the problem of moisture in brick wall construction, loosing space, etc. are discussed and method for selecting best insulation option is shown, five modern insulation materials are selected, measurements are made and best alternative is found using TOPSIS method with grey numbers.
Journal ArticleDOI

Interior insulation for wall retrofitting - A probabilistic analysis of energy savings and hygrothermal risks

TL;DR: In this paper, a decision tool based on a Monte Carlo analysis is presented to select the interior insulation system and thickness resulting in the best balance between energy savings and hygrothermal risks.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Book

Information Visualization: Perception for Design

TL;DR: The art and science of why the authors see objects the way they do are explored, and the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.
Book ChapterDOI

Theories of Decision-Making in Economics and Behavioural Science

TL;DR: For example, the authors argue that if economics is able to find verifiable and verified generalisations about human economic behaviour, then these generalisations must have a place in the more general theories of human behaviour to which psychology and sociology aspire.
Journal ArticleDOI

Contrasting the capabilities of building energy performance simulation programs

TL;DR: In this paper, a comparison of the features and capabilities of twenty major building energy simulation programs is presented, based on information provided by the program developers in the following categories: general modeling features; zone loads; building envelope and daylighting and solar; infiltration, ventilation and multizone airflow; renewable energy systems; electrical systems and equipment; HVAC systems; HVC equipment; environmental emissions; economic evaluation; climate data availability, results reporting; validation; and user interface, links to other programs, and availability.
Book

Robust Discrete Optimization and Its Applications

TL;DR: This paper presents four approaches to handle Uncertainty in Decision Making using a Robust Discrete Optimization Framework and results show how these approaches can be applied to real-world problems.
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