Developing a Sustainable Energy Efficiency Environment in Bangladesh's Textile Sector

This project, backed by a significant $150 million credit line, focuses on creating a future where the textile sector of Bangladesh operates within a more sustainable and energy-efficient equipment environment. As a consultant, I've been providing strategic, policy, and advisory services specific to energy efficiency and climate change, as part of the broader Green Climate Fund (GCF) initiatives.

My main responsibilities revolve around:

  1. Establishing a baseline for energy consumption in Bangladesh's textile sector

  2. Developing a Measurement, Reporting, and Verification (MRV) framework for tracking progress.

  3. To foster engagement and build capacity, conducting regular workshops and training sessions for key stakeholders.

This ongoing project signifies a major step towards enhancing energy sustainability within Bangladesh's textile industry.

01

Green Climate Fund (Ongoing)

multicolored textiles lot
multicolored textiles lot

02

Passive Cooling Solutions Assessment for ASEAN cities

ESCAP, UNEP, National Experts and Consultants

(04/2022 – 04/2023)

Collaborating with key stakeholders like ESCAP, UNEP, and national experts, this year-long project centers on assessing the effects of Passive Cooling Solutions (PCS) in reducing energy consumption and enhancing thermal comfort across buildings and cities in ASEAN.

I'm partaking in the identification of urban heat island effect (UHIE) mitigation strategies and hotspot areas, utilizing cutting-edge GIS and Rhino/Grasshopper tools.

This project allows me to harness data-driven methodologies, advanced data analysis techniques, and building energy simulations to proffer sustainable urban cooling solutions.

03

Energy Management and Savings of Hennes & Mauritz Stores

H&M Stores, India (12/2022 – 03/2023)

Between December 2022 and March 2023, I undertook an energy management project for Hennes & Mauritz stores in India. Leveraging advanced data analytics techniques, I systematically scrutinized meter and sub-meter levels to identify energy consumption at multiple stores down to specific areas/floors and appliances.

I compiled a comprehensive visualization of the energy system which, importantly, pinpointed opportunities for energy conservation both during and outside of operational hours.

This multifaceted, data-driven approach culminated in a notable achievement: the project recorded up to 14% savings in operational energy across H&M stores, underlining the success and potential of this efficiency-focused strategy.

shallow focus photography of store pendant lamps
shallow focus photography of store pendant lamps

04

Energy Modeling, Simulations, and Advanced BMS Software Development

Innovant and Inspired Living Solutions

(02/2021 – 08/2021)

Leveraging EnergyPlus for comprehensive energy modeling and simulations, this project marked a significant stride in energy management.

As part of the team, I contributed to building energy consumption data-driven tool using Python, drawing meaningful insights. In this project, the most notable accomplishment was the development of an advanced Building Management System (BMS) software. This state-of-the-art technology utilized data-driven strategies and machine learning capabilities to forecast energy demand effectively among other features.

Additionally, I provided vital technical support to clients and stakeholders, ensuring their understanding and comfort with the new systems.

05

Data-driven Approach Towards Energy Efficiency of Office Space -Temporal & Spatial Aspects for Geneva

ThinkSwiss Research Internship

(09/2021 – 12/2021)

During my tenure as a Think Swiss Research Intern at the Institute for Environmental Sciences & Dpt. F.-A. Forel, University of Geneva, I undertook a detailed study on space heating and cooling in Geneva's office buildings.

I developed a data-driven tool (In Excel and Python) to estimate annual and monthly energy usage in office spaces, factoring in various internal and external parameters. Under the guidance of Dr. Martin Patel, I utilized data analysis techniques and statistical methodologies to efficiently dissect large-scale time-series data, gaining actionable insights into energy efficiency.

This experience further deepened my understanding of energy efficiency in the context of commercial spaces while honing my analytical skills.

brown concrete building
brown concrete building
a black and white photo of a window with shutters
a black and white photo of a window with shutters

Other Projects

Energy Survey of Climate-Smart Hospitals in India

Stackholders: AEEE, CCDC, PHFI (09/2022 – 04/2023)

  • Contribution towards conducting a first nationwide energy survey of hospitals in India in collaboration with the Alliance for an Energy Efficient Economy (AEEE) and the Centre for Chronic Disease Control (CCDC)

  • Assessing the energy footprint and associated GHG emissions of hospitals

  • Conducted data analysis and drew inferences from the survey results, providing insights to the AEEE team to help develop and update energy benchmarks and standards for different hospital typologies in India

2000-WATT Smart Cities : India Rating of Symbiosis International University

Stackholders: 2000 Watt Smart Cities Association

  • Symbiosis International University achieved the distinction of being the first 2000-watt smart-cities certified carbon-neutral township project in India

  • Conducted climatic analysis, building energy performance simulations, and embodied energy calculations in the early design phase to improve building performance and aim for net-zero. Analysis resulted in 29% energy savings compared to the architectural base case.

  • Demonstrated technical expertise in energy modelling and building performance analysis, and ability to collaborate and drive project towards energy efficiency and sustainability goals

A Retrofit Approach to Improve Energy Efficiency of Single-Family Residential Buildings: A Case Study of Composite Climate and Development of a Tool for Selection of the Retrofits of Existing Buildings

  • Analysed retrofit strategy for improving energy efficiency in single-family residential buildings, utilizing a case study of composite climate conditions. Created a tool for selecting retrofits of existing buildings to identify cost-effective and energy-saving solutions.

  • Achieved energy savings of 20-22% with an estimated payback period of 6.5 years through the implementation of retrofits

  • Demonstrated expertise in building energy efficiency, cost-benefit analysis, and sustainable construction practices

Want to Connect?

Contacts

brijesh221097@gmail.com