Energy Management as a Service (EMaaS)

EnerMerlion Flex Energy Platform

EMS-in-Cloud & Virtual Power Plant (VPP)

Full-stack energy intelligence combining engineering precision, AI-powered optimization, and comprehensive system deployment. From asset-level control to grid-level coordination - delivering measurable performance improvements for industrial and commercial energy consumers.

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The Challenge

Why Most Energy Projects Underperform

Traditional approaches fail to deliver optimal results due to fragmented execution and lack of integrated expertise.

Our Solution

EnerMerlion Flex bridges this gap by delivering end-to-end execution support that accelerates ROI: combining rigorous planning, data-driven simulation, AI models learning and prediction, EMS deployment, VPP trading and system operation data monitoring.

Market Landscape

Global Energy Intelligence Opportunity

Energy system optimization requires sophisticated modeling, cross-regional market expertise, and complex supply chain management. EnerMerlion Flex bridges this gap with engineering methodologies, data-driven algorithms, software deployment, combined with deep industry expertise spanning various markets.

$50B+
Global EMS & VPP Market
APAC
Strategic Regions
15%+
Market CAGR
Core Technology

Three Core Capabilities

Full-stack energy intelligence from asset level to grid level

1
Simulator
System solution planning, user setting and constraints, application scenarios simulation for ROI and performance metrics
2
Controller
Real-time EMS with AI optimization and predictive control
3
VPP
Multi-site coordination for grid services and market participation
Platform Technology

EnerMerlion Flex Architecture

Integrated platform connecting simulation, AI-powered control, and real-time monitoring - from strategy design to execution and optimization.

EnerMerlion Flex Energy Platform Architecture

User Interface Layer

Platform UI / Monitor

  • Energy flow visualization
  • Forecast displays & control mode settings
  • Operation priorities & optimization targets
Core Intelligence Layer

Controller & Optimizer

  • Dynamic control (time-of-control)
  • Forecast-driven predictive adjustment
  • Market participation optimization
  • Price-based scheduling
  • Communication gateway to subsystems
Data Integration Layer

Forecast Module

  • Weather | Load | PV generation

System Operation Data

  • DER | Health Metrics | Efficiency

User Setting & Constraints

  • Capacity limit | Budget | KPI metrics
External Interfaces
BESS/DER API Market API Forecast API

FREE SIMULATOR FOR DIAGNOSIS & ANALYSIS

Dynamic EMS Simulator project configuration interface
Main Interface - Project Configuration & System Setup
Dynamic EMS Simulator ROI analysis results
Simulation Results - ROI Analysis & Financial Metrics
Dynamic EMS Simulator optimization recommendations
Optimization Analysis - AI-Powered Recommendations
Dynamic EMS Simulator battery system performance charts
Battery System Performance - Power Flow & State of Energy
Proven Results

Malaysia Manufacturing Case Study

9.1 MWp Solar + 7.5 MWh BESS • Penang, Malaysia

Challenge

New TNB tariffs with RM 97/kW peak charges. MD charges increased 2.6x, accounting for >30% of total electricity bill. Existing solar PV system unable to address peak demand spikes.

NYIE Solution

  • Dynamic simulator for comprehensive analysis
  • EMS-in-Cloud controller for real-time optimization
  • Hardware application innovation for cost recovery
50%+
Payback Reduction
2.3 yrs
Years to ROI
2 MW
MD Reduction
RM 2.1M
Annual Savings
Our Methodology

From Time-of-Use (ToU) to Time-of-Control (ToC)

Current energy optimization approaches are fundamentally reactive. We architect proactive control strategies that go beyond simple tariff response.

Traditional Approach: ToU

  • React to fixed tariff schedules
  • Basic load shifting during known peak hours
  • Static optimization rules
  • Manual adjustments when tariffs change
  • Limited to simple arbitrage strategies

Our Approach: ToC

  • Architect proactive control strategies
  • AI-powered predictive optimization
  • Machine learning based dynamic adaptation
  • Neural network-driven automated response
  • Deep learning enables multi-dimensional optimization
Global Reach

Target Markets

ASEAN, Australia & Middle East Focus

🇲🇾

Malaysia

  • New TNB tariff structures
  • Industrial C&I segment
  • Active pilot projects
🇸🇬

Singapore

  • EMC market integration
  • Demand response programs
  • VPP opportunities
🇦🇺

Australia

  • AEMO FCAS markets
  • Wholesale participation
  • Mature VPP ecosystem
🌏

Middle East

  • Renewable integration needs
  • Peak demand management
  • Grid modernization
Global Expertise

International Team Connecting APAC and EMEA

Integrated approach, cross-regional network, proven technology, supply chain access, concrete methodology, and agile execution.

Dr. Yang LIU

Founder & CCO

Power systems expert with 10+ years in EMS innovation—bridging academic research and commercial deployment. Former EMS lead at a Fortune 500 energy company.

Key Expertise

  • Power Systems
  • EMS Software
  • Industry Partnerships

Ya LV

Co-Founder & CEO

Energy entrepreneur with decade-long industry expertise—building intelligent solutions across APAC-EMEA, from R&D to market deployment.

Key Expertise

  • EMS Development
  • Market Strategy
  • Cross-Regional Networks

Prof. Xu Yan

Technical Advisor

Cham Tao Soon Professor, NTU. Director, Center for Power Engineering, NTU. Co-Director, SP-NTU Joint Lab.

Key Expertise

  • Power Engineering
  • Academic Research
  • Industry Collaboration

Extended Team

EMS Development Team
Singapore-based
AI Specialists
Singapore-based
Procurement Expert
China-based
Market Advisors
APAC & EMEA
Strategic Partner

Strategic Partnership

P.UP strategic partner logo
P•UP
Innovation Support

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