Additional Control Strategies Research Articles

Exploring the Utilization of Energy Storage Systems for Frequency Response Adequacy of a Low Inertia Power Grid

The utilization of Energy Storage Systems (ESS) for improving the frequency response of a low inertia power system is investigated in this article. Substantial wind power penetration is causing the replacement of conventional synchronous generators in several power systems. Variable speed wind machines traditionally do not contribute to frequency regulation without additional control strategy. As a result, a wind dominated power grid may have inadequate inertia and governor responsive reserve. In such situation, a large contingency may yield undesirable Rate of Change of Frequency (ROCOF) and frequency deviation. To overcome this problem, deployment of ESS, namely, Superconducting Magnetic Energy Storage (SMES) and Battery Energy Storage System (BESS) can be a worthwhile solution. Since these devices are costly, their appropriate sizing and operational approach are crucial. Therefore, in this paper, analytical expressions are derived to find the minimum ratings of SMES and BESS. To this end, system frequency deviation, ROCOF, inertial response and governor response are taken into account. Also, a coordinated operational strategy is proposed to retain frequency response adequacy and minimize under-frequency load shedding where SMES is triggered when system ROCOF supersedes a certain limit and BESS is activated due to system frequency surpassing a preset threshold. The performance of the proposed strategy is explored in a low inertia network under substantial wind penetration considering several different wind penetration levels. Also, the results are validated against two existing approaches. Simulation results reveal that the proposed methodology considerably enhances the frequency response in various operating conditions.

Reinforcement learning for bluff body active flow control in experiments and simulations.

We have demonstrated the effectiveness of reinforcement learning (RL) in bluff body flow control problems both in experiments and simulations by automatically discovering active control strategies for drag reduction in turbulent flow. Specifically, we aimed to maximize the power gain efficiency by properly selecting the rotational speed of two small cylinders, located parallel to and downstream of the main cylinder. By properly defining rewards and designing noise reduction techniques, and after an automatic sequence of tens of towing experiments, the RL agent was shown to discover a control strategy that is comparable to the optimal strategy found through lengthy systematically planned control experiments. Subsequently, these results were verified by simulations that enabled us to gain insight into the physical mechanisms of the drag reduction process. While RL has been used effectively previously in idealized computer flow simulation studies, this study demonstrates its effectiveness in experimental fluid mechanics and verifies it by simulations, potentially paving the way for efficient exploration of additional active flow control strategies in other complex fluid mechanics applications.

Recent Advances in the Development of Environmentally Benign Treatments to Control Root-Knot Nematodes.

Root-knot nematodes (RKNs), Meloidogyne spp., are sedentary endoparasites that negatively affect almost every crop in the world. Current management practices are not enough to completely control RKN. Application of certain chemicals is also being further limited in recent years. It is therefore crucial to develop additional control strategies through the application of environmentally benign methods. There has been much research performed around the world on the topic, leading to useful outcomes and interesting findings capable of improving farmers’ income. It is important to have dependable resources gathering the data produced to facilitate future research. This review discusses recent findings on the application of environmentally benign treatments to control RKN between 2015 and April 2020. A variety of biological control strategies, natural compounds, soil amendments and other emerging strategies have been included, among which, many showed promising results in RKN control in vitro and/or in vivo. Development of these methods continues to be an area of active research, and new information on their efficacy will continuously become available. We have discussed some of the control mechanisms involved and suggestions were given on maximizing the outcome of the future efforts.

Topologies for Battery and Supercapacitor Interconnection in Residential Microgrids with Intermittent Generation

Context:This paper presents a comparative study of the performance of three topologies for interconnecting Lithium ion batteries and supercapacitors in a hybrid energy storage system for use in electric residential microgrids with intermittent generation. The hybrid system’s main purpose is to prolong battery life, using the supercapacitor to handle the dynamic component of current from a pulsed current load. This work builds upon a preliminary simulation-based study, in which two semi-active topologies were compared and evaluated. Here, we add an active topology to the study and describe the operational benefits of each topology.
 Method:For every topology in this study, a non-isolated half-bridge bidirectional DC converter was used, and a proportional–integral (PI) double-loop linear ACC control algorithm was designed for controlling the converters. In the active topology an additional optimisation-based real-time frequencydecoupling control strategy was employed.
 Results:A parallel active topology allows better management of stored energy in the SC by supporting variation of SC terminal voltages with a DC converter as interface to the DC bus.
 Conclusions: Semi-active topologies are easier to design and control, but the operational benefits of supercapacitors require voltage variation at the terminals. This variation is made possible with an active topology.
 Acknowledgements: First author thanks Universidad Distrital Francisco Jos´e de Caldas for the financial support in his doctoral studies through the study commission contract N° 000101-2016.

Compatibility of trap cropping system and insecticides in managing leafminers Liriomyza spp. (Diptera: Agromyzidae) on shallot crop

Trap cropping system has been widely used as a management strategy against various types of pests. However, the efficacy of this strategy varies and need to be increased by combining it with another additional control strategy. This study aimed to evaluate the efficacy of trap cropping system and insecticides against leafminers, an important pest of crops in the world including in shallot crop in Indonesia. The study was arranged in a randomized complete block design with 6 treatments, which were 1) without any treatments (control), 2) trap crops, 3) botanical insecticide (Agonal), 4) synthetic insecticide (Abamectin) 5) trap crops and Agonal, 6) trap crops and abamectin. The results showed that the trap cropping system has a stronger effect on reducing infestation than the population of leafminers. Trap crops reduced leafminer infestation by around 50% when combined with insecticides but only reduced by 32 % without insecticides. Agonal and abamectin insecticides had similar efficacy against leafminers. Trap crop application combined with insecticides had the highest parasitoid population compared with insecticides and control. This study revealed that trap crops were compatible with insecticides in controlling shallot leafminers and supports the integrated pest management of leafminers.

Potential targets for controlling Bactrocera dorsalis using cuticle- and hormone-related genes revealed by a developmental transcriptome analysis.

The oriental fruit fly, Bactrocera dorsalis (Hendel), is an important agricultural pest and has developed resistance to many insecticides. To investigate vital genes participating in metamorphosis for development of additional control strategies, a comprehensive transcriptome analysis covering ten developmental stages of B. dorsalis was performed. There were 2132, 952, 1062, 2301 and 1333 differentially expressed genes identified during hatching, 1st-instar larval molting, 2nd-instar larval molting, pupariation and emergence, respectively. Further expression analyses indicated that genes in hormone- (20-hydroxyecdysone and juvenile hormone) and cuticle- (chitin and cuticle protein) related pathways were essential for metamorphosis in B. dorsalis. Among chitinase (Cht) genes, BdCht-5, -8 and -10 were differentially expressed during larval-larval, larval-pupal and pupal-adult moltings. However, BdCht7 was differentially expressed during egg-larval and larval-larval moltings. Knockdown of BdCht7 at the 1st-instar larval stage disrupted normal development of larvae and was lethal to B. dorsalis. Among cuticle protein (CP) genes, 15 genes (BdCPLCG-1, BdCPLCP-2, BdCPAP1-B2, BdRR1-21, BdRR1-31, BdRR2-15, BdRR2-26, BdRR2-30, BdRR2-32, BdTweedle-9, BdTweedle-24, BdRR2-10, BdCPAP3-C1, BdRR1-34 and BdRR1-41) were differentially expressed during four of five types of moltings. Among hormone-relative genes, BdJHBP-4, -9 and -13 were differentially expressed during all five types of moltings, whereas BdJHBP-5, -12 and BdHR4 were differentially expressed during four of five types of moltings. This study reveals critical genes involved in development and metamorphosis of B. dorsaslis, and BdCht7 is dispensable for larval survival. It also provides comprehensive transcriptome information for finding more molecular targets to control this pest. © 2020 Society of Chemical Industry.

Analysis of Historical Worker Exposures to Respirable Dust from Talc Mining and Milling Operations in Vermont.

Talc is mined and milled throughout the world for use in a variety of industrial and consumer products. Although prior studies have evaluated workplace exposures or health effects from talc operations, the primary emphasis of these investigations has been on certain mineral contaminants (e.g. crystalline silica and asbestos) rather than talc itself. The purpose of this analysis is to evaluate historical worker exposures to respirable dust (as a measure of talc exposures) in the Vermont talc mines and mills, which involved a relatively pure form of talc (i.e. no asbestos and <0.25% or <1% crystalline silica). Respirable dust sampling data collected for workers in the Vermont mines and mills, which have not been previously published, were obtained from both mining company records and Mine Safety and Health Administration (MSHA) inspections. Because of differences in sampling design, the company and MSHA data were analyzed and reported separately. Overall, nearly 700 respirable dust samples collected for 44 job categories at 7 site locations over an approximate 30-year period were analyzed. Average respirable dust concentrations were found to exceed occupational exposure limits (OELs) in the United States and other countries for several job categories and site locations. Regardless of data source, the highest observed exposures were for mining jobs involving the operation of heavy equipment to break up, move, or load raw ore from the mines and milling or shipping jobs involving the crushing of raw ore, cleaning and drying of processed talc, and bagging and packaging of the final talc product. When analyzing the company data, the arithmetic mean respirable dust concentration was 2.73 mg m-3 for Muckerman at Hammondsville Mine, 3.18 mg m-3 for dosco operator at Ludlow mines, 1.35 mg m-3 for crusher operator at Gassetts Mill, 2.4 mg m-3 for palletizer at West Windsor Mill, and 2.68 mg m-3 for bagging operator at Columbia Shipping Center. When analyzing the MSHA data, the arithmetic mean respirable dust concentration was 3.5 mg m-3 for kiln/dryer operator at Hammondsville Mine, 1.27 mg m-3 for driller at Ludlow mines, 3.69 mg m-3 for ball mill operator at Columbia mill, 3.02 mg m-3 for flotation operator at West Windsor Mill, and 3.24 mg m-3 for bagging operator at Columbia Shipping Center. Worker exposures were found to decline over time for many, but not all, jobs. Our findings highlight potential high-risk jobs that might benefit from additional exposure control strategies at current or future talc manufacturing sites. The respirable dust measurements summarized here may also be used to reconstruct historical worker exposures at the Vermont sites or aid in subsequent epidemiology studies of this cohort focused on malignant or non-malignant respiratory disease.

Molecular epidemiology of malaria parasite amongst patients in a displaced people\u2019s camp in Sudan

BackgroundDespite the importance of epidemiological studies in the development of effective control strategies and provision of basic health services for refugees and internally displaced persons (IDPs), data on the prevalence of malaria are limited. Thus, this study was conducted to estimate the molecular prevalence of malaria amongst the displaced population in Ardamata IDP camp in Al-Geneina City, Sudan.MethodsA cross-sectional study was conducted from July 2018 to December 2018 to estimate malaria prevalence amongst the displaced population in Ardamata IDP camp in Al-Geneina City, Sudan. A total of 380 patients with suspected malaria were recruited. Nested polymerase chain reaction (nPCR) assays were performed to detect the Plasmodium genus and species.ResultsOf 380 patients, 232 (61.1%) were positive for malaria. Plasmodium falciparum was the only prevalent species detected amongst the study population. nPCR analysis revealed that none of the samples had Plasmodium vivax, Plasmodium ovale or Plasmodium malariae. The malaria prevalence rate was higher amongst males (67.1%) than in females (56.8%), and gender was the only risk factor that was significantly associated with malaria infection (p = .042).ConclusionsDespite control programmes, malaria remains a significant cause of illness amongst a displaced population. The high prevalence of malaria infection in this study indicates that additional health facilities and control strategies should be implemented in displaced camps and the surrounding areas.

Research on Additional Control Technology Based on Energy Storage System for Improving Power Transfer Capacity of Multi-Terminal AC/DC System with Low Cost

The multi-terminal AC/DC system will become one of the important forms of the future power grid. The negative impedance characteristic caused by the constant power load in the DC network will reduce the power transfer capacity between the terminals, especially when a grid fault occurs in AC system at any terminal. Energy storage has played an important role in improving the stability of AC and DC systems. This paper proposes an additional control method based on an energy storage system to improve system power transfer capacity with low cost. The state space model of two-terminal AC/DC system is established, and the feedback laws for additional control are further designed by Lyapunov theory. Furthermore, the additional control strategies based on the energy storage system is built, without changing the existing control system of each control object. Finally, the corresponding system simulation model is established by Matlab/Simulink for analysis and verification. The research results show that the proposed additional control method is effective. The power transfer limitation can be overcome by only adding small damping energy with the stable DC voltages under large disturbances, and the power transfer capacity between the terminals can be significantly improved with low control cost.

Adaptive Single-Pole Auto-Reclosing Scheme for Hybrid MMC-HVDC Systems

After the isolation of a single pole-to-ground fault, the adaptive auto-reclosing concept in high-voltage dc (HVDC) systems is difficult to be applied due to little coupling between the poles. With fault ride through capability, the hybrid modular mult-ilevel converter (MMC) can be advantageous for future HVDC projects. This research proposes an adaptive auto-reclosing operation for hybrid MMC-based bipolar HVDC systems, based on fault identification by characteristic signal injection. The proposed method is based on voltage controllability of healthy pole MMC to inject dc voltage perturbations. Healthy line perturbations result in the induced characteristic signals to the faulty line, which contain information about the fault property. An additional control strategy for hybrid MMC, to inject signals with suitable amplitude and frequency, is also discussed in detail. Then, fault identification is realized by wavelet transform of traveling waves caused by the signal injection. Finally, a dc adaptive single-pole auto-reclosing scheme is proposed to shorten the reclose time and to distinguish between temporary faults and permanent faults. Simulation results verify the effectiveness of the proposed method in PSCAD/EMTDC software.

Voltage Control using Artificial Neural Network in A DC/AC Microgrid with Distributed Generation

Microgrid is gaining importance and attraction by researchers all over the world as a replacement for conventional grid especially in the remote areas. But due to the continuously varying nature of the renewable energy sources as well as the load, the control of microgrid is a vital task both in standalone mode and grid connected mode. This paper investigates the application of Artificial Neural Network (ANN) for Voltage control in a DC/AC microgrid. The system considered consists of PV, boost converter and an Inverter. The triggering pulse for the boost converter connected to the PV system is obtained by the ANN which is trained to track the maximum power point (MPP) under variable insolation as well as variable temperature conditions. Compared to other conventional methods, ANN trained MPPT is able to track the changes in the load with lesser oscillations and peak overshoot. Also this paper investigates the control of inverter in the grid forming mode by applying ANN. The performance and the stability of the microgrid is enhanced by adopting additional control strategies like getting the reference current signal also from the AC grid, feeding the integration of error signals along with the error themselves as well as by giving the disturbance voltage at the ANN output for better control. The result shows that the ANN controlled inverter is able to maintain the voltage at the required nominal value following the disturbance..

1627. Outbreaks of Klebsiella pneumoniae in Special Care Nurseries (SCN) in Jamaica: Role of Whole-Genome Sequencing

Background Klebsiella pneumoniae is a frequent cause of neonatal sepsis and carries a high mortality rate in lower and middle-income countries (LMICs). From March-November 2015, two Jamaican hospitals experienced K. pneumoniae outbreaks in their Special Care Nurseries (SCNs). New admissions to both SCNs were temporarily halted while additional infection control strategies were implemented. 31 babies were infected, of which 15 died. International collaboration was requested to help investigate if the sepsis cases were nosocomial transmission, repeated introductions from the community, or both using whole-genome sequencingMethodsWe sequenced DNA from 19 outbreak isolates (n = 13 from Hospital A, n = 6 from Hospital B) on an Illumina HiSeq2500 instrument and assembled short-reads using SPAdes. We used ResFinder v3.1.0 to screen resistance genes and assigned MLSTs using in-house scripts. To compare the outbreak isolates, we selected a reference genome from among the assembled isolates, aligned raw reads using the Burrows–Wheeler Aligner (BWA), identified SNPs using GATK UnifiedGenotyper, and removed the recombined regions using Gubbins v2.3.4. We further contextualized the 19 outbreak isolates against a global collection of more than 300 K. pneumoniae genomes.ResultsAll 13 isolates from Hospital A appeared to be from a single source. All were ST45 and encoded blaCTX-M-15, which confers extended-spectrum β-lactam (ESBL) resistance. Five of 6 isolates from Hospital B appeared to be from a separate, single source. These 5 isolates were ST268 and susceptible to most antibiotics. 1 isolate from Hospital B was ST628, encoded blaCTX-M-15, and grouped separately from other Hospital B outbreak isolates. Hospital A and B outbreak isolates formed independent, unique clades within a global K. pneumoniae collection.ConclusionOur findings indicate nosocomial transmission was responsible for both neonatal K. pneumoniae outbreaks, rather than repeat introductions from the community. The main sequence types we detected (ST45 and ST268) are not known pandemic clones and may circulate regionally. Multifaceted infection control measures were implemented for effectively halting outbreaks.Disclosures All authors: No reported disclosures.

A Novel Current Sharing Method by Grouping Transformer's Secondary Windings for a Multiphase LLC Resonant Converter

A novel current sharing method for a multiphase LLC resonant converter is proposed in this article. Without additional components or control strategies, the proposed method can achieve good current sharing performance even with 10% tolerance of the resonant parameters. Besides, the proposed method is very simple; only the secondary windings of the transformers need to be grouped. This method does not affect the efficiency and load transient characteristics of the LLC resonant converter. The excellent current sharing capability of the proposed method is demonstrated via theoretical analysis under first harmonic approximation assumption and powersim simulation. The experimental results of a 960-W two-phase LLC resonant converter prototype are provided to verify the effectiveness of the proposed method.

A Si-FET-Based High Switching Frequency Three-Level LLC Resonant Converter

This paper highlights the proposed silicon field-effect transistor (Si-FET)-based high switching frequency three-level (TL) LLC resonant converter. It provides a detailed operational analysis of the converter; the multilevel (ML) organization of cells; voltage-balancing principles; current-balancing principles; loss comparison between Si-FETs and gallium-nitride (GaN)-FETs; and an optimal design consideration based on loss analysis. This analysis reveals that the switching losses of all power switches can be considerably reduced as the voltage across each switch can be set to half of the input voltage without an additional circuit or control strategy. Moreover, the current of each resonant inductor is automatically balanced by a proposed integrated magnetic (IM)-coupled inductor. Therefore, the operating frequency can be easily increased to near 1 MHz without applying high-performance switches. In addition, the resonant tanks of the converter can be a group of cells for multilevel operation, which indicates that the voltage across each switch is further reduced as more cells are added. Based on the results of the analysis, an optimal design consideration according to the resonant tank and switching frequency is discussed. The proposed converter was validated via a prototype converter with an input of 390 V, an output of 19.5 V/18 A, and a frequency of 1 MHz.

Research on Frequency Fuzzy Adaptive Additional Inertial Control Strategy for D-PMSG Wind Turbine

The traditional additional inertial control (T-AIC) strategy can provide frequency support for the directly-driven wind turbine with a permanent magnet synchronous generator (D-PMSG). However, due to the fixed control coefficients, the frequency modulation effect is poor under load and wind speed disturbances. In order to improve the frequency transient response of D-PMSG, a fuzzy adaptive additional inertial control strategy (FA-AIC) is proposed in this paper. A simplified D-PMSG model is established for the complexity and low calculation speed. A single-machine grid-connected system composed of a D-PMSG and an equivalent synchronous generator set (ESGS) is taken as the background and analysis of the principle of T-AIC. The proportional and derivative coefficient initial values in T-AIC are tuned by simulating the static characteristics and inertial response characteristics of the conventional synchronous generator set, and fuzzy control technology is introduced to adjust the proportional and derivative coefficients adaptively based on the frequency deviation and the frequency deviation change rate under load or wind speed disturbances. The simulation verification indicates that T-AIC, kinetic energy (KE)-based gain-AIC and FA-AIC all can utilize the D-PMSG additional inertial response to provide frequency support for grid-connected systems. Compared with T-AIC and KE-based gain-AIC, the proposed FA-AIC can not only provide more effective frequency support during load disturbances, but also suppress the frequency fluctuation caused by the wind speed variation and displays a better dynamic frequency regulation effect.

A Novel Fault-Tolerant Technique for Active-Neutral-Point-Clamped Inverter Using Carrier-Based PWM

This paper presents a novel fault-tolerant method for active–neutral-point-clamped (ANPC) inverter using a modified carrier-based pulsewidth modulation. At a fault event, the ANPC inverter is divided into subinverters, and the modulating signal is modified to two modulating signals. The modified modulating signals are used to control the subinverters and allow continuous operation of the three-level ANPC inverter during faulty conditions even up to four open-switch faults per phase. This technique provides the fault-tolerant capability of the ANPC inverter without the need to add any additional phase legs or complex control strategies. Furthermore, the proposed technique ensures the voltage balancing of the dc-link capacitors. The performance of the proposed fault-tolerant technique is verified through simulation studies in MATLAB/Simulink under different faulty conditions. The feasibility of the proposed technique is also verified experimentally.

Study of Inertia and Damping Characteristics of Doubly Fed Induction Generators and Improved Additional Frequency Control Strategy

Large-scale wind farms connect to the grid and deliver electrical energy to the load center. When a short-circuit fault occurs on the transmission line, there will be an excess of electric power, but the power demand will increase instantaneously once the fault is removed. The conventional additional frequency control strategies of wind farms can effectively reduce the frequency fluctuation caused by load mutation, but still there are some limitations for the frequency fluctuation caused by the whole process of occurrence, development and removal of a short-circuit fault on the transmission line. Therefore, this paper presents an improved additional frequency control strategy for wind farms. According to the variation law of system frequency during the whole process of a short-circuit fault, the proposed strategy revises the parameters in conventional additional frequency control of the doubly-fed induction generator (DFIG) to have effective damping characteristics throughout the entire process from failure to removal, thereby the output power of DFIGs could respond to frequency fluctuation rapidly. MATLAB/ Simulink is used to build a four-machine two-area model for simulation analysis. The results show that the control strategy can effectively reduce the frequency fluctuation of DFIGs, and enhance the stability of the system.

Additional reactive power control and emergency control of the ±1100 kV UHVDC system with a hierarchical connection mode

This paper proposes an additional reactive power control strategy and an emergency control strategy for ±1100 kV ultra-high voltage direct current (UHVDC) system with a hierarchical connection mode, in which the inverter station connect to two AC systems with different voltage levels. Firstly, the relationship between reactive power and DC voltage is analysed. Then, an additional reactive power control strategy is proposed to solve the voltage fluctuation caused by reactive power disturbance. Next, the reactive power emergency control strategy is proposed when a short-circuit fault occurs. Reactive power compensation devices will be inputted into the fault-free AC system to provide reactive power support through coupling relationship between two AC systems in the inverter side. Simulation results show that the additional reactive power control strategy can suppress reactive power disturbances without affecting the active power. Moreover, the reactive power emergency control strategy can reduce the probability of commutation failure in converters connected to the fault AC system while a short-circuit fault occurs.

An Improved Design of Current Controller for &lt;italic&gt;LCL&lt;/italic&gt;-Type Grid-Connected Converter to Reduce Negative Effect of PLL in Weak Grid

For three-phase LCL -type grid-connected converter, when it is attached to weak grid, current control interacts with phase-locked loop (PLL) via point of common coupling voltage. Consequently, PLL dynamic might deteriorate grid current control and even result in system instability. However, the conventional design method of current controller neglects the impact of PLL, and therefore, it is hard for the current controller to mitigate the negative effect of PLL. In this paper, an improved design of current controller, i.e., proportional–integral controller and capacitor-current-feedback active damping, is proposed to reduce the negative effect of PLL on current control. First, a small-signal impedance model is developed to analyze the impact of PLL on current control. Then, the effect of current controller parameters on the converter output impedance is analyzed, and a design guideline to improve the current controller parameters is presented. With the improved parameters, in precondition of satisfying system stability margin under both stiff and weak grid, the negative effect of PLL on current control can be effectively mitigated without employing additional control strategies. Furthermore, the current control has a strong robustness against wide-range variation of grid impedance. Finally, the experiment demonstrates the effectiveness of the proposed design method.

Managing future air quality in megacities: Co-benefit assessment for Delhi

Urbanization, population and economic growth in Indian megacities like Delhi have resulted in an increase in energy and transportation demand leading to severe air pollution and related health impacts, as well as to the rapid growth in the greenhouse gas emissions. In this study, an integrated assessment of air quality and climate policies for Indian cities – with a particular focus on National Capital Territory of Delhi, has been carried out. We have developed emission inventory of air pollutants and greenhouse gases for the base year (2010) and evaluated the impact of current policies on emission projections by 2030 in the business-as-usual scenario. Emissions of coarse and fine particulate matter are projected to be 51% and 15% higher in 2030 as compared to present. As the current legislations do not indicate progress towards the achievement of the Indian National Ambient Air Quality Standards in Delhi, we explored the effectiveness of additional emission control strategies with either advanced end-of-pipe emission controls or low carbon policies. Relative to the baseline scenario, the set of alternative policy strategies would reduce emissions rapidly in 2030. The results revealed that air quality policies under various scenarios could also have co-benefits of reducing carbon emissions. At the same time, the results suggest that low carbon policies would be more efficient to cut emissions as compared to advanced end-of-pipe emission control policies. However, their implementation could be limited by the availability of clean fuels. In the climate policy scenario, carbon emission in 2030 is estimated to decrease by 19% relative to baseline. Additional controls combined with low carbon policies like controlling non-industrial emissions create an opportunity to further enhance the scope for co-benefits and to attain the air quality standards in Delhi.