Dr. Hafiz Muhammad Afzal Siddiqui
Department of Mathematics, COMSATS University Islamabad, Lahore, Punjab, Pakistan
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Academic Career Length
25Years (2002-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications14 May 2008 in IEEE Transactions on Power Systems
Journal Article
CMChris Marnay
Chris Marnay
GVGiri Venkataramanan
Giri Venkataramanan
MSMichael Stadler
Michael StadlerHafiz Muhammad Afzal SiddiquiRFRyan Firestone
Ryan Firestone
BCBala Chandran
Bala Chandran
The deployment of small ( < 1-2 MW ) clusters of generators, heat and electrical storage, efficiency investments, and combined heat and power (CHP) applications (particularly involving heat-activated cooling) in commercial buildings promises significant benefits but poses many technical and financial challenges, both in system choice and its operation; if successful, such systems may be precursors to widespread microgrid deployment. The presented optimization approach to choosing such systems and their operating schedules uses Berkeley Lab's Distributed Energy Resources Customer Adoption Model (DER-CAM), extended to incorporate electrical and thermal storage options. DER-CAM chooses annual energy bill minimizing systems in a fully technology-neutral manner. An illustrative example for a hypothetical San Francisco hotel is reported. The chosen system includes one large reciprocating engine and an absorption chiller providing an estimated 11% cost savings and 8% carbon emission reductions under idealized circumstances.
1 February 2017 in Energy Economics
Journal Article
TRTuomas Rintamäki
Tuomas Rintamäki
Hafiz Muhammad Afzal SiddiquiASAhti Salo
Ahti Salo
1 February 2015 in Energy and Buildings
Journal Article
PRPaula Rocha
Paula RochaHafiz Muhammad Afzal SiddiquiMSMichael Stadler
Michael StadlerTo foster the transition to more sustainable energy systems, policymakers have been approving measures to improve energy efficiency as well as promoting smart grids. In this setting, building managers are encouraged to adapt their energy operations to real-time market and weather conditions. Yet, most fail to do so as they rely on conventional building energy management systems (BEMS) that have static temperature set points for heating and cooling equipment. In this paper, we investigate how effective policy measures are at improving building-level energy efficiency compared to a smart BEMS with dynamic temperature set points. To this end, we present an integrated optimisation model mimicking the smart BEMS that combines decisions on heating and cooling systems operations with decisions on energy sourcing. Using data from an Austrian and a Spanish building, we find that the smart BEMS results in greater reduction in energy consumption than a conventional BEMS with policy measures
1 January 2016
Book
ACAntonio J Conejo
Antonio J ConejoLMLuis Baringo Morales
Luis Baringo Morales
SKS. Jalal Kazempour
S. Jalal KazempourHafiz Muhammad Afzal Siddiqui1 July 2010 in Energy Economics
Journal Article
Hafiz Muhammad Afzal SiddiquiSFStein-Erik Fleten
Stein-Erik FletenConcerns with CO2 emissions are creating incentives for the development and deployment of energy technologies that do not use fossil fuels. Indeed, such technologies would provide tangible benefits in terms of avoided fossil-fuel costs, which are likely to increase as restrictions on CO2 emissions are imposed. However, there are a number of challenges that need to be overcome, and the current costs of developing new alternative energy technologies would be too high to be handled privately. We analyse how a government may proceed with a staged development of meeting electricity demand as fossil-fuel sources are being phased out. A large-scale, new alternative technology is one possibility, where one would start a major research and development programme as an intermediate step. Alternatively, the government could choose to deploy an existing renewable energy technology, and using the real options framework, we compare the two projects to provide policy implications on how one might proceed.
1 July 2014 in IEEE Transactions on Power Systems
Journal Article
IMIlan Momber
Ilan Momber
Hafiz Muhammad Afzal Siddiqui
Tomas GomezLSLennart Soder
Lennart Soder
Research on electric power systems has considered the impact of foreseeable plug-in electric vehicle (PEV) penetration on its regulation, planning, and operation. Indeed, detailed treatment of PEV charging is necessary for efficient allocation of resources. It is envisaged that a coordinator of charging schedules, i.e., a PEV aggregator, could exercise some form of load control according to electricity market prices and network charges. In this context, it is important to consider the effects of uncertainty of key input parameters to optimization algorithms for PEV charging schedules. However, the modeling of the PEV aggregator's exposure to profit volatility has received less attention in detail. Hence, this paper develops a methodology to maximize PEV aggregator profits taking decisions in day-ahead and balancing markets while considering risk aversion. Under uncertain market prices and fleet mobility, the proposed two-stage linear stochastic program finds optimal PEV charging schedules at the vehicle level. A case study highlights the effects of including the conditional value-at-risk (CVaR) term in the objective function and calculates two metrics referred to as the expected value of aggregation and flexibility.
About Me
Dr. Hafiz Muhammad Afzal Siddiqui is a Tenured Associate Professor in the Department of Mathematics at COMSATS University Islamabad, Lahore Campus, Pakistan. He received his B.Sc. (Hons.) in Mathematics from Government College University, Lahore, in 2009 and Ph.D. in Mathematics from NUST, Islamabad, in 2015.
His research interests include metric graph theory, algebraic and chemical graph theory, combinatorics, resolving parameters, zero-divisor graphs of commutative rings, multiset dimensions, topological indices, nonlinear evolution equations, soliton theory, stability analysis, and bifurcation theory.
He has authored or co-authored more than 75 research publications in international journals, including *Theoretical Computer Science, Discrete Applied Mathematics, Scientific Reports, Nonlinear Dynamics, Algorithmica,* and *IEEE Access*. He has contributed to HEC-funded research projects and supervised numerous Ph.D. and M.Phil./M.S. scholars.
His academic contributions encompass teaching, postgraduate supervision, international research collaborations, journal peer reviewing, and organizing scientific conferences and workshops. His research focuses on advancing mathematical theory and its applications in complex networks, algebraic structures, chemical systems, and nonlinear dynamics.