- Building Energy and Comfort Optimization
- Remote Sensing and Land Use
- Energy Efficiency and Management
- Municipal Solid Waste Management
- Land Use and Ecosystem Services
- Advanced Multi-Objective Optimization Algorithms
- Landfill Environmental Impact Studies
- Sustainable Building Design and Assessment
- Construction Project Management and Performance
- BIM and Construction Integration
- Remote-Sensing Image Classification
- Probabilistic and Robust Engineering Design
- Recycled Aggregate Concrete Performance
- Wind and Air Flow Studies
- Agricultural risk and resilience
- Agriculture, Water, and Health
- Occupational Health and Safety Research
- Market Dynamics and Volatility
- Urban Heat Island Mitigation
- Hygrothermal properties of building materials
- Energy Load and Power Forecasting
- Value Engineering and Management
- Seismic and Structural Analysis of Tall Buildings
- Environmental and Social Impact Assessments
- Multi-Criteria Decision Making
Pandit Deendayal Petroleum University
2022-2024
Indian Institute of Technology Roorkee
2020-2023
Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint Global South. This paper presents application of non-dominated sorting genetic (NSGA II) algorithm for multi-objective design optimization under operational uncertainties. A residential situated mid-latitude steppe and desert region (Köppen climate classification: BSh) South has been selected our investigation. The annual consumption total number cooling setpoint unmet...
Grey Wolf Optimization (GWO) is an emerging evolutionary metaheuristic technique capable of solving challenging engineering problems. Despite its growing popularity, GWO's suitability for building design problems remains unexplored. This paper presents a novel algorithmic framework using EnergyPlus, EPLauncher and Matlab to implement single bi-objective GWO energy optimization. The goal identify optimal wall window type, orientation, air conditioner's operational profiles cooling setpoints...
Infrastructure development projects are vital for economic growth and societal well-being every phase of any futuristic in the region, city, or country as its backbone structure development, but their success hinges on effective performance evaluation. The present research employs a thorough methodology that integrates Structural Equation Modeling (SEM) Factor Analysis decision-making tools to examine interdependencies comparative significance diverse standards infrastructure initiatives....
<title>Abstract</title> With increased anthropogenic activity and commitments toward various international organisations countries to mitigate its ill effects, finding a sustainable way out is very important. The Sustainable Development Goals (SDGs) thus become an important part of our collective efforts. present study aims at assessing SDG 15: Life on land (SDG 15.3.1) for India’s state Goa following the good practices guidelines United Nations Combat Desertification (UNCCD) by employing...
A novel methodology is presented to evaluate how real-world operational uncertainties impact multi-objective building design optimization process. NSGA-II algorithm applied across nine distinct scenarios, considering diverse weather datasets and energy usage patterns optimize efficiency thermal comfort in a residential within India's hot dry climate. The analysis considers 382,400 possible options for each scenario. Using (10.5–12.5) % of model evaluations, significantly reduces Annual...