A methodology for energy performance classification of residential building stock of Hamirpur

Abstract

In India, there are various codes, standards, guidelines and rating systems launched to make energy intensive and large sized buildings energy efficient whereas independent residential buildings are not covered even though they exist most in numbers of total housing stock. This paper presents a case study methodology for energy performance assessment of existing residential stock of Hamirpur that can be used to develop suitable energy efficiency regulations. The paper discusses the trend of residential development in Hamirpur followed by classification based on usage, condition, predominant material use, ownership size and number of rooms, source of lighting, assets available, number of storey and plot sizes using primary and secondary data. It results in identification of predominant materials used and other characteristics in each of urban and rural area. Further cradle to site embodied energy index of various dominant building materials and their market available alternative materials is calculated from secondary literature and by calculating transportation energy. One representative existing building is selected in each of urban and rural area and their energy performance is evaluated for material embodied energy and operational energy using simulation. Further alternatives are developed based on other dominant materials in each area and evaluated for change in embodied and operational energy. This paper identifies the energy performance of representative houses for both areas and in no way advocates the preference of one type over another. The paper demonstrates a methodology by which energy performance assessment of houses shall be done and also highlights further research.

Bridging India’s housing gap: lowering costs and CO2 emissions

“…EE requirements were calculated by multiplying EE intensities by the estimated quantity of material for the specific archetype (see section SM 2.1 in the supplemental data online). Similar to other authors (Sharma & Marwaha, 2015), EE intensities were obtained from Indian sources and averaged in the case of multiple sources (see Tables SM2 and SM3 in the supplemental data online). While alternative EE intensities from international databases are available (e.g.…”

“…While the choice of two archetypes seems limited for a large new housing stock as that of India, the lack of detailed data on the current and future building stocks precluded a more thorough categorization. To make up for this limitation, this approach seeks to define a baseline (reference case) based on representative housing types and common construction practice in India (Bansal et al, 2014;Naveen Kishore & Chouhan, 2014;Ramesh et al, 2013;Sharma & Marwaha, 2015;Srivastava & Kumar, 2018), and then to simulate a series of variations to key parameters to account for different contextual conditions, building design and potential energy-savings measures (Table 1). Whilst the analysis seeks to be as comprehensive as possible, some caveats exist regarding building geometry, where a high variability of configurations is expected, and specific regional construction systems and materials may apply.…”

“…Previous studies for India estimate either the material requirements and costs of providing new houses (Debnath, Singh, & Singh, 1995;Tiwari, 2003) or the energy demand from conventional and traditional buildings (Mishra & Usmani, 2014;Singh et al, 2009). Some authors recently adopted life cycle assessment (LCA), in particular LCE assessment, to estimate the building energy requirements in India (Praseeda, Reddy, & Mani, 2016;Ramesh, Prakash, & Shukla, 2012a;Sharma & Marwaha, 2015). Such an approach allows for a more holistic analysis of trade-offs between the construction and use of buildings.…”

Optimizing Evaluation Methods for the Embodied Energy and Carbon Management of Existing Buildings in Egypt

“…In the meantime, researchers continue to attempt different methodologies for energy accounting. Sharma and Marwaha focus on housing typologies in India [13], while Azari and Abbasabadi study methodologies across different contexts, identifying trends where possible [ [15]. Current shifts towards building information modeling (BIM) in the design process have also created opportunities for developing more suitable and streamlined energy accounting tools within existing toolboxes and software.…”

A comparative study of thermal performance in three generations of Iranian residential buildings: Case studies in Csa Gorgan

“…Based on their results, there is a strong correlation between different building components including shading devices, insulation and external roofs, walls, as well as glazing and its energy use reduction (Mirrahimi et al, 2016). Sharma and Marwaha (2017) presented a methodology to evaluate the energy performance of existing residential stock across of Hamirpur, which can be considered to develop energy efficiency requirement in this region. Ihm et al presented some guidelines to improve the buildings’ energy codes, to better select glazing types that reduce total energy use of residential buildings in different representative climates in South Korea.…”