Deep Energy Renovation of the Mærsk Office Building in Denmark Using a Holistic Design Approach

Abstract This study targets the office buildings sector in Denmark considering a case study of the Maersk Building, located at the University of Southern Denmark Odense campus, aiming to improve its energy performance and reduce heating and electricity consumption. The current work is carried out under the COORDICY project aiming to establish a new methodology for non-residential and public buildings deep energy renovation. The methodology is based on a holistic design approach taking into account the dynamic building energy performance to analyse and evaluate retrofit measures and packages, instead of the static approach and conventional estimations currently in use. A detailed holistic energy model for the Maersk office building was developed using a package of Sketchup Pro, OpenStudio and EnergyPlus tools to simulate the dynamic energy performance of the building taking into account various characteristics and specifications. The model was calibrated against actual utility data and under actual weather conditions. It was shown that the building overall primary energy consumption is as high as 176.11 kWh/m 2 of the indoor heated area, of which 65% is for space heating and domestic hot water. Various retrofit measures were implemented and analysed to improve the energy performance of the building. Based on the analysis, 8 deep energy renovation packages were developed and evaluated. A favourable package was highlighted comprising efficient lights, daylights sensors in open spaces and corridors, roof and exterior walls insulation and managing heating set point schedules. This deep energy retrofit package reduces the primary energy consumption to 70.44 kWh/m 2 , allowing the building to comply with the BR10 Danish building regulation. Additional reduction in the energy consumption was achieved through installing a 20 kWp PV system on the building roof, making the building eligible to be classified as 2015 low energy class building with 41.39 kWh/m 2 energy consumption.

[1]  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 .

[2]  Svend Svendsen,et al.  Business models for full service energy renovation of single-family houses in Nordic countries , 2013 .

[3]  Svend Svendsen,et al.  Holistic energy retrofitting of multi-storey building to low energy level , 2011 .

[4]  Amaryllis Audenaert,et al.  Improving the energy performance of residential buildings: A literature review , 2015 .

[5]  Kirsten Engelund Thomsen,et al.  Energy Saving Potential in Retrofitting of Non-Residential Buildings in Denmark , 2015 .

[6]  P. A. Pilavachi,et al.  Economic evaluation of energy saving measures in a common type of Greek building , 2009 .

[7]  Kirsten Gram-Hanssen,et al.  Existing buildings – Users, renovations and energy policy , 2014 .

[8]  Giorgia Peri,et al.  On the classification of large residential buildings stocks by sample typologies for energy planning purposes , 2014 .

[9]  Brian Vad Mathiesen,et al.  Energy system analysis of 100% renewable energy systems-The case of Denmark in years 2030 and 2050 , 2009 .

[10]  Dainius Martuzevicius,et al.  Energy Retrofits in Multi-family Buildings in North-east Europe: The Impacts on Thermal Conditions , 2015 .

[11]  J. Kurnitski,et al.  Quantification of economic benefits of renovation of apartment buildings as a basis for cost optimal 2030 energy efficiency strategies , 2015 .

[12]  Filip Johnsson,et al.  The effect of improved efficiency on energy savings in EU-27 buildings , 2013 .

[13]  Ove Mørck,et al.  Energy consumption in an old residential building before and after deep energy renovation , 2015 .

[14]  Adem Atmaca,et al.  Life cycle energy (LCEA) and carbon dioxide emissions (LCCO2A) assessment of two residential buildings in Gaziantep, Turkey , 2015 .

[15]  Carsten Rode,et al.  Building Renovation with Interior Insulation on Solid Masonry Walls in Denmark – A study of the Building Segment and Possible Solutions , 2015 .

[16]  Paris A. Fokaides,et al.  European smart cities: The role of zero energy buildings , 2015 .

[17]  Mette Mosgaard,et al.  Stakeholder constellations in energy renovation of a Danish Hotel , 2016 .

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

[19]  Poul Alberg Østergaard,et al.  Comparison of future energy scenarios for Denmark: IDA 2050, CEESA (Coherent Energy and Environmental System Analysis), and Climate Commission 2050 , 2012 .

[20]  Mary Ann Piette,et al.  Energy retrofit analysis toolkits for commercial buildings: A review , 2015 .

[21]  Emile J.L. Chappin,et al.  Modelling decisions on energy-efficient renovations: A review , 2014 .

[22]  Carsten Nathani,et al.  Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations , 2007 .

[23]  Bojana Stanković,et al.  Building stock characteristics and energy performance of residential buildings in Eastern-European countries , 2016 .

[24]  Hugo Hens,et al.  Energy savings in retrofitted dwellings: economically viable? , 2005 .

[25]  Brian Vad Mathiesen,et al.  Barriers and Potential Solutions for Energy Renovation of Buildings in Denmark , 2014 .

[26]  Ranjan Parajuli Looking into the Danish energy system: Lesson to be learned by other communities , 2012 .

[27]  Edoardo Bertone,et al.  State-of-the-art review revealing a roadmap for public building water and energy efficiency retrofit projects , 2016 .

[28]  Rasmus Lund Jensen,et al.  Early stage decision support for sustainable building renovation – A review , 2016 .

[29]  Sophie Trachte,et al.  Sustainable Renovation of Non Residential Buildings, a Response to Lowering the Environmental Impact of the Building Sector in Europe☆ , 2014 .

[30]  Lars Lisell,et al.  Cloud-Based Model Calibration Using OpenStudio , 2014 .

[31]  Walter Ott,et al.  Finding the Balance between Energy Efficiency Measures and Renewable Energy Measures in Building Renovation: An Assessment Based on Generic Calculations in 8 European Countries , 2015 .

[32]  João Dias Carrilho,et al.  Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review , 2016 .

[33]  Ove Mørck,et al.  School of the Future: Deep energy renovation of the Hedegaards School in Denmark , 2015 .

[34]  Dejan Mumovic,et al.  Towards measurement and verification of energy performance under the framework of the European directive for energy performance of buildings , 2014 .

[35]  Barbara Wehle,et al.  Energetic and Acoustic Renovation of Residential Buildings of the 1950s to the 1970s , 2015 .

[36]  J. Kragh,et al.  Energy renovation of single-family houses in Denmark utilising long-term financing based on equity , 2011 .

[37]  Hanne Kauko,et al.  Case Study on Residential Building Renovation and its Impact on the Energy Use and Thermal Comfort , 2014 .

[38]  M. Jakob Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector , 2006 .

[39]  Marco António Pedrosa Santos Ferreira,et al.  Cost-optimal energy efficiency levels are the first step in achieving cost effective renovation in residential buildings with a nearly-zero energy target , 2016 .

[40]  Martin Morelli,et al.  Energy retrofitting of a typical old Danish multi-family building to a “nearly-zero” energy building based on experiences from a test apartment , 2012 .

[41]  Svend Svendsen,et al.  Energy savings in Danish residential building stock , 2006 .

[42]  Cheonghoon Baek,et al.  Policy measures to overcome barriers to energy renovation of existing buildings , 2012 .