A holistic design approach for residential net-zero energy buildings: A case study in Singapore

Abstract The concept of net-zero energy buildings is an important element and dimension of the sustainable built environment. This paper introduces a holistic design approach for residential net-zero energy building (NZEB) by adopting the Triple Bottom Line (TBL) principles: social, environmental, and financial. The social need is mapped to human comfort and nature contact (i.e. thermal comfort achieved by natural cooling, and visual comfort achieved by daylighting); the environmental need is mapped to energy efficiency; and the financial need is mapped to life cycle cost (LCC). Multi-objective optimizations are conducted in two phases: the first phase optimizes the utilization rate of natural cooling and daylighting, and the second phase optimizes energy efficiency and LCC. Sensitivity analysis is conducted to identify the most influential variables in the optimization process. The approach is applied to the design of residential NZEBs in a tropical country, Singapore. The potential of building residential NZEBs in Singapore is evaluated with two typical residential building types: a landed house and apartment building. The required capacity of a renewable energy system (RES) is calculated. Results show that while it is achievable to build a net-zero energy landed house with only rooftop solar panels, it is much more difficult to achieve net-zero energy for apartment buildings. Further design considerations and analysis show that for a 25-floor H-shaped residential building with a solar panel integrated facade, the produced electricity is able to meet the energy demand of up to 19 floors. Findings and derived insights from the case study show that although some variables need to be carefully selected to balance daylighting and natural cooling, the two objectives do not always contradict each other regarding certain variables. Similarly, environmental aims and economic aims do not always contradict each other on certain variables. Also, the social aims do not contradict environmental and economic aims, as the findings show that designing for daylighting and natural cooling contributes to the improvement of energy efficiency and cost effectiveness. These results provide a framework and modeled cases for design insights, parametric design, and trade-off analysis toward sustainable and livable built structures.

[1]  Jan Carmeliet,et al.  Building energy optimization: An extensive benchmark of global search algorithms , 2019, Energy and Buildings.

[2]  Yang Zhao,et al.  Renewable energy system optimization of low/zero energy buildings using single-objective and multi-objective optimization methods , 2015 .

[3]  Shengwei Wang,et al.  Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions , 2018, Applied Energy.

[4]  A. Polman,et al.  Photovoltaic materials: Present efficiencies and future challenges , 2016, Science.

[5]  Rudi Stouffs,et al.  Comparing micro-scale weather data to building energy consumption in Singapore , 2017 .

[6]  Chandra Sekhar,et al.  Thermal comfort evaluation of naturally ventilated public housing in Singapore , 2002 .

[7]  Di Wang,et al.  Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design , 2015 .

[8]  Mohamed El Mankibi,et al.  Development of a multicriteria tool for optimizing the renovation of buildings , 2011 .

[9]  Sigrid Reiter,et al.  A performance comparison of sensitivity analysis methods for building energy models , 2015 .

[10]  Xiaodong Cao,et al.  Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade , 2016 .

[11]  Kari Alanne,et al.  A life cycle approach to optimizing carbon footprint and costs of a residential building , 2017 .

[12]  Francesco Causone,et al.  Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II) , 2015 .

[13]  Zhonghua Gou,et al.  An Investigation of Thermal Comfort and Adaptive Behaviors in Naturally Ventilated Residential Buildings in Tropical Climates: A Pilot Study , 2018 .

[14]  Wong Nyuk Hien,et al.  The impacts of ventilation strategies and facade on indoor thermal environment for naturally ventilated residential buildings in Singapore , 2007 .

[15]  Moncef Krarti,et al.  Evaluation of net-zero energy residential buildings in the MENA region , 2016 .

[16]  Danny H.W. Li,et al.  An analysis of energy-efficient light fittings and lighting controls , 2010 .

[17]  A. Ilancheran,et al.  Health and economic burden of HPV-related diseases in Singapore. , 2012, Asian Pacific journal of cancer prevention : APJCP.

[18]  Paolo Maria Congedo,et al.  Cost-optimal design for nearly zero energy office buildings located in warm climates , 2015 .

[19]  Pascal Henry Biwole,et al.  Multi-Objective Optimization Methodology for Net Zero Energy Buildings , 2018 .

[20]  M. Hamdy,et al.  A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010 , 2013 .

[21]  Kristin L. Wood,et al.  Design Innovation: A Study of Integrated Practice , 2017 .

[22]  Per Heiselberg,et al.  Life cycle cost analysis of a multi-storey residential Net Zero Energy Building in Denmark , 2011 .

[23]  J. Heerwagen,et al.  Biophilic Design: The Theory, Science and Practice of Bringing Buildings to Life , 2011 .

[24]  Claude-Alain Roulet,et al.  Natural ventilation for passive cooling: measurement of discharge coefficients , 1998 .

[25]  Li Shao,et al.  A key review of building integrated photovoltaic (BIPV) systems , 2017 .

[26]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[27]  Gerardo Maria Mauro,et al.  A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance , 2015 .

[28]  Milos Manic,et al.  Building Energy Management Systems: The Age of Intelligent and Adaptive Buildings , 2016, IEEE Industrial Electronics Magazine.

[29]  Vasilis Fthenakis,et al.  Life cycle assessment of cadmium telluride photovoltaic (CdTe PV) systems , 2014 .

[30]  Qian Jin,et al.  FACADE RENOVATION FOR A PUBLIC BUILDING BASED ON A WHOLE-LIFE VALUE APPROACH , 2012 .

[31]  Wayes Tushar,et al.  Design Innovation Approaches for Sustainable Smart Energy Systems , 2018 .

[32]  Anh Tuan Nguyen,et al.  A performance comparison of multi-objective optimization algorithms for solving nearly-zero-energy-building design problems , 2016 .

[33]  Farshad Kowsary,et al.  A novel approach for the simulation-based optimization of the buildings energy consumption using NSGA-II: Case study in Iran , 2016 .

[34]  Jian Yao,et al.  An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements , 2014 .

[35]  P Raynham,et al.  SLL Lighting Handbook , 2009 .

[36]  Kevin Otto,et al.  Design for Sustainable Use of Appliances: A Framework Based on User Behavior Observations , 2016 .

[37]  P. Stern Contributions of psychology to limiting climate change. , 2011, The American psychologist.

[38]  Enrico Fabrizio,et al.  A simulation-based optimization method for cost-optimal analysis of nearly Zero Energy Buildings , 2014 .

[39]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[40]  Svend Svendsen,et al.  Impact of façade window design on energy, daylighting and thermal comfort in nearly zero-energy houses , 2015 .

[41]  Timothy F. Slaper,et al.  The Triple Bottom Line: What Is It and How Does It Work? , 2011 .

[42]  O Seppänen,et al.  Association of ventilation system type with SBS symptoms in office workers. , 2002, Indoor air.

[43]  Rasmus Lund Jensen,et al.  On-site or off-site renewable energy supply options? Life cycle cost analysis of a Net Zero Energy Building in Denmark , 2012 .

[44]  Danny S. Parker,et al.  A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe , 2018 .