scholarly journals Synergies and Trade-Offs Between Sustainable Development and Energy Performance of Exterior Lighting

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2245 ◽  
Author(s):  
Annika K. Jägerbrand

The aim of this review was to map synergies and trade-offs between sustainable development and energy efficiency and savings regarding exterior lighting. Exterior lighting, such as public road and street lighting, requires significant amounts of energy and hinders sustainable development through its increasing of light pollution, ecological impact, and global climate change. Interlinkages between indicators in sustainability and energy that have positive interactions will lead to a mutual reinforcement in the decision-making process, and vice versa, interlinkages between trade-offs may lead to unwanted and conflicting effects. Very few studies have presented a clear vision of how exterior lighting should be contributing to, and not counteracting, the sustainable development of our planet. This study was conducted through a theoretical and systematic analysis that examined the interactions between sustainable development and energy performance based on a framework using indicators and variables, and by reviewing the current literature. Additionally, 17 indicators of energy efficiency and energy savings were identified and used in the analysis. Most interactions between variables for sustainable development and energy performance (52%) were found to be synergistic. The synergistic interactions were mostly found (71%) in the ecological and environmental dimension showing that environmental and ecological sustainability goes hand in hand with energy efficiency and savings. Trade-offs were found only in the economic and social dimensions accounting for 18% of the interactions identified. This review shows that the interactions between sustainable development and energy performance can be used to establish more efficient policies for decision-making processes regarding exterior lighting.

2020 ◽  
Vol 13 (1) ◽  
pp. 235
Author(s):  
Fernando Martín-Consuegra ◽  
Fernando de Frutos ◽  
Ignacio Oteiza ◽  
Carmen Alonso ◽  
Borja Frutos

This study quantified the improvement in energy efficiency following passive renovation of the thermal envelope in highly inefficient residential complexes on the outskirts of the city of Madrid. A case study was conducted of a single-family terrace housing, representative of the smallest size subsidized dwellings built in Spain for workers in the nineteen fifties and sixties. Two units of similar characteristics, one in its original state and the other renovated, were analyzed in detail against their urban setting with an experimental method proposed hereunder for simplified, minimal monitoring. The dwellings were compared on the grounds of indoor environment quality parameters recorded over a period covering both winter and summer months. That information was supplemented with an analysis of the energy consumption metered. The result was a low-cost, reasonably accurate measure of the improvements gained in the renovated unit. The monitoring output data were entered in a theoretical energy efficiency model for the entire neighborhood to obtain an estimate of the potential for energy savings if the entire urban complex were renovated.


2017 ◽  
Vol 1 (2) ◽  
pp. 36 ◽  
Author(s):  
Hector Hernández

In order to improve the energy performance of buildings, the need to value economically investments of energy efficiency associated with the rehabilitation of dwellings arises. This point of view provides an useful tool for analysts who start in the economic appraisal of energy efficiency investments. The present research gives a conceptual framework for the economic assessment of these types of investments in dwellings. As a result, it is possible to identify two techniques in the appraisals of this nature: dynamic and static approaches. Both methods contrast the benefits (energy savings) with the costs of investments over time. However, they differentiate the opportunity and the moment when investment must be carried out given an uncertainty scenario. This conceptual precision allows the study of several publications where different alternatives in retrofitting houses where evaluated, confirming the considerations that must be taken into account when economic modelling is made: the type of approach to be used (dynamic or static) and; at the definition of the investment alternatives and scenarios, the aspects of time, irrevocability and uncertainty.ResumenEn pro de la mejora del desempeño energético de los edificios, surge la necesidad de evaluar económicamente las inversiones de eficiencia energética asociadas a la rehabilitación de viviendas. Este punto de vista trata de ser una herramienta útil para analistas que se inicien en la evaluación económica de inversiones en eficiencia energética. La presente investigación muestra un marco conceptual de la evaluación económica de este tipo de inversiones en viviendas. Como resultado, es posible identificar dos enfoques presentes en los análisis económicos de esta naturaleza: el dinámico y el estático. Ambos métodos contrastan los beneficios (ahorros energéticos) con los costes de las inversiones en el tiempo. Sin embargo, diferencian la oportunidad y el momento en que la inversión debe realizarse dado un escenario de incertidumbre. Esta precisión conceptual permite estudiar varias publicaciones donde se evaluaron diferentes alternativas de reacondicionamiento en viviendas, confirmándose las consideraciones que deben tenerse presentes en momento de realizar la modelación económica: el tipo de enfoque a usar (dinámico o estático) y, en la definición de las alternativas de inversión y escenarios, los aspectos de tiempo, irrevocabilidad e incertidumbre.


Author(s):  
Mari Aino Hukkalainen ◽  
Krzysztof Klobut ◽  
Tarja Mäkeläinen ◽  
Vanda Dimitriou ◽  
Dariusz Leszczyński

Practical guidelines are presented for improved process for design and retrofitting of energy-efficient buildings, with an aim to integrate buildings better with the neighbourhood energy system, among others through energy matching. The chapter describes the role of energy simulations in an integrated building retrofitting process and how to select technologies for the retrofitting toward nearly zero energy building level. Feasibility of performing a holistic analysis of retrofitting options can be increased through the integration of BIM, well populated, and linked databases and a multi-criteria decision-making approach. Multiple-criteria decision-making methods aid taking into account a number of building energy performance and user-preference-related criteria and the trade-offs between the different criteria for each retrofitting option. The real-life viewpoints and benefits of utilising the developed methods and processes are discussed, especially from the Eastern European view.


Author(s):  
Owen Betharte ◽  
Hamidreza Najafi ◽  
Troy Nguyen

The growing world-wide energy demand and environmental considerations have attracted immense attention in building energy efficiency. Climate zone plays a major role in the process of decision making for energy efficiency projects. In the present paper, an office building located in Melbourne, FL is considered. The building is built in 1961 and the goal is to identify and prioritize the potential energy saving opportunities and retrofit the existing building into a Net-Zero Energy Building (NZEB). An energy assessment is performed and a baseline model is developed using eQUEST to simulate the energy performance of the building. Several possible energy efficiency improvement scenarios are considered and assessed through simulation including improving insulation on the walls and roof, replacing HVAC units and upgrade their control strategies, use of high efficiency lighting, and more. Selected energy efficiency improvement recommendations are implemented on the building model to achieve the lowest energy consumption. It is considered that photovoltaic (PV) panels will be used to supply the energy demand of the building. Simulations are also performed to determine the number of required PV panels and associated cost of the system is estimated. The results from this paper can help with the decision making regarding retrofit projects for NZEB in humid subtropical climate.


2020 ◽  
Vol 12 (24) ◽  
pp. 10506
Author(s):  
Carlos de Miguel Ramos ◽  
Rafael Laurenti

The United Nations plans have marked global sustainable development for more than two decades. Most of the developed and developing countries have adopted these plans to achieve the Agenda 2030, currently formed by the 17 Sustainable Development Goals (SDGs). The analysis of the interactions between the SDGs is a growing area in research and of interest for governments. However, studies on how positive correlations can improve deteriorated goals are scarce for countries to date. This study aims at filling this gap by finding and quantifying the synergies and trade-offs among the SDGs of Spain. During the years 2000–2019, almost 80% of the SDG targets had significant interactions, either positive (synergy) or negative (trade-off). SDG 4 (quality education), SDG 5 (gender Equality) and SDG 7 (affordable and clean energy) contained the largest number of positive interactions, more than 60% in all of them. SDG 3 (good health and wellbeing) was strongly linked with indicators from SDG 4 (quality education) and also SDG 6 (clean water and sanitation). Furthermore, indicators from SDG 7 (affordable and clean energy) shared a high correlation with the ones from SGD 12 (responsible consumption and production) and SDG 15 (life on land). SDG 1 (no poverty), 2 (zero hunger), 6 (clean water and sanitation), 8 (decent work and economic growth) and 11 (sustainable cities and communities) had the slowest evolution during the years 2000–2019, showing contractions in some instances. We developed a regression model to assess the influence that selected targets have had on a less evolved target (target 8.6—proportion of youth not in education, employment or training). We managed to clarify high influence from target 1.3 (unemployment compensations), target 8.4 (domestic material consumption) and target 10.5 (non-performing loans) on the dependent variable. Identifying numerical dependencies between the SDGs may help nations to develop a roadmap where targets work as cogwheel towards achieving the Agenda 2030.


Author(s):  
Teresa Parejo-Navajas

AbstractThe behavior of occupants in buildings has an enormous impact on their energy consumption. Despite the efforts to improve the energy efficiency in buildings, there are still many barriers that need to be overcome. Behavior change measures -to improve the energy performance of buildings- are focused on both, the design and the use and operation of buildings. If we are really committed to achieving the sustainable development objective to improve our society’s well-being, special attention should be put into energy use behavior as it has been proven to be an effective way for improvement. ResumoO comportamento dos ocupantes em edifícios tem um enorme impacto no seu consumo de energia. Apesar dos esforços para melhorar a eficiência energética nos edifícios, ainda há muitas barreiras que precisam ser superadas. Medidas de mudança de condutas - para melhorar o desempenho energético dos edifícios - são focadas tanto no design como na utilização e operação de edifícios. Se estamos realmente empenhados em alcançar o objetivo de desenvolvimento sustentável para melhorar o bem-estar da nossa sociedade, uma atenção particular deve ser proporcionada em relação as condutas que influem no uso cotidiano de energia, uma vez que se provou ser um meio eficaz de progresso.


Buildings ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 52
Author(s):  
Xiang Li ◽  
Sha Liu ◽  
Yichao Sun

Building energy efficiency, which is critical in reducing environmental impact, has become one of the most important objectives of building designs. In order to precisely express the goals of building designs, and help decision makers estimate the ultimate performance of design schemes in advance when searching for the optimal building design, the Goal Programming Model (GPM) is introduced in this study to provide a solution for explicit design objective delivery and multi-stakeholder involved decision-making support. In this proposed method, EnergyPlusTM works as a simulation engine to search for the relationship between design parameter combinations and building energy consumption. Simultaneously, Genetic Algorithm (GA) is used to improve the efficiency of overall building energy performance optimization by processing multiple iterations. A case study with five possible design scenarios was dedicated in this study to implement the proposed optimization method, and the optimization results verified the capacity of the established GP-based optimization method to satisfy various design requirements for decision makers and/or stakeholders, especially in facing the hierarchical objectives with different priorities. In this case, the envelope-related variables, including the exterior wall and window, serve as optimization objectives. The optimization is carried out under the ideal air conditioning system, considering different energy usage patterns. Meanwhile, comparing with the vague and restricted expression of objectives in multi-objective optimization, the proposed GP-based optimization method provides explicit trade-off relationships among various objectives for designers, which improves the practical value of the optimized designs, so as to ensure the project success and facilitate the development of green buildings.


Author(s):  
Om Taneja

Sustainability goals for buildings are highly acclaimed as public and private sector’s contributions to environmental responsibility, resource efficiency, occupant comfort and well-being. All too often a building’s performance does not meet design expectations, particularly a new building’s energy savings projection that overstates achievable performance. Across the high-performing building industry, these unrealistic energy performance goals have come from, among other things, inadequate modeling and benchmarking practices, unreliable monitoring and equipment controls systems, and significant changes in space usage and tenant improvements. There is still lack of commitment to include operations staff in goal setting and provide adequate budgets for periodic benchmarking, commissioning, and tuning of buildings’ mechanical, electrical and plumbing systems. This paper provides the analytical, performance & prescriptive measures for life cycle assessment of energy efficiency projects which can help in making adaptive changes to buildings systems to suit changing uses, or other internal and external factors that directly or indirectly affect performance.


2018 ◽  
Vol 11 (4) ◽  
pp. 749
Author(s):  
Aiping Jiang ◽  
Yuanyuan Wang ◽  
Yide Cheng

Purpose: In order to improve the energy utilization and achieve sustainable development, this paper integrates energy efficiency into condition-based maintenance(CBM) decision-making for two-component parallel systems. The objective is to obtain the optimal maintenance policy by minimizing total cost.Design/methodology/approach: Based on energy efficiency, the paper considers the economic dependence between the two components to take opportunistic maintenance. Specifically, the objective function consists of traditional maintenance cost and energy cost incurred by energy consumption of components. In order to assess the performance of the proposed new maintenance policy, the paper uses Monte-Carlo method to evaluate the total cost and find the optimal maintenance policy.Findings: Simulation results indicate that the new maintenance policy is superior to the classical condition-based opportunistic maintenance policy in terms of total economic costs.Originality/value: For two-component parallel systems, previous researches usually simply establish a condition-based opportunistic maintenance model based on real deterioration data, but ignore energy consumption, energy efficiency (EE) and their contributions of sustainable development. This paper creatively takes energy efficiency into condition-based maintenance(CBM) decision-making process, and proposes a new condition-based opportunistic maintenance policy by using energy efficiency indicator(EEI).


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